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Ethical Evidence and Policymaking : Interdisciplinary and International Research / / ed. by Ron Iphofen, Dónal O'Mathúna
| Ethical Evidence and Policymaking : Interdisciplinary and International Research / / ed. by Ron Iphofen, Dónal O'Mathúna |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Bristol : , : Policy Press, , [2022] |
| Descrizione fisica | 1 electronic resource (390 pages) |
| Disciplina | 172 |
| Soggetto topico |
Research methods: general
Society & culture: general |
| Soggetto non controllato | evidence; Evidence-based policy; Impact agenda; Knowledge exchange; policymaking; Public and social policy; Public engagement; Research ethics; Research practices |
| ISBN | 1-4473-6397-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Matter -- Contents -- List of figures, tables and boxes -- Notes on contributors -- Introduction: Ethical evidence and policymaking -- Fundamentals of evidence and ethical dimensions in policymaking -- Ethical research in a global context: a dynamic tension between universal values, principles and contextual applications -- One size fits all? The problems of offering ethical guidance to everyone -- Trust in institutions or the scientist? The drivers and mechanisms of trust in research and innovation as a means to improve related political outcomes -- Modes of influence: what can we learn from international codes of ethics for health-related research? -- Interdisciplinary perspectives on ethics and integrity in Europe: acknowledging differences to foster mutual understanding -- An ethical framework for think tanks: easier drafted than done? -- Ethical evidence in specific policy domains -- Ethical research in public policy -- Bitter harvests: ethical divides in the GM foods debate -- Ethics in smart information systems -- The AI industry and regulation: time for implementation? -- Cardiovascular disease prevention and health promotion in times of a pandemic: a global health case study -- Conducting ethical research in crisis situations: COVID-19 -- Ethics in research for resilience and societal collapse -- Research relationships and positionality: adult-child power relations -- Case studies -- What is good evidence? -- Black Lives Matter: reconsidering systemic racism -- The state of scientific policy advice: reflections on strategies and challenges of foreign policy think tanks in times of crisis -- Increasing the impact of research through policy: the role of academic publishers in bringing researchers and policymakers together -- Index |
| Record Nr. | UNINA-9910580259903321 |
| Bristol : , : Policy Press, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Ethical Evidence and Policymaking : Interdisciplinary and International Research / / ed. by Ron Iphofen, Dónal O'Mathúna
| Ethical Evidence and Policymaking : Interdisciplinary and International Research / / ed. by Ron Iphofen, Dónal O'Mathúna |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Bristol : , : Policy Press, , [2022] |
| Descrizione fisica | 1 electronic resource (390 pages) |
| Disciplina | 172 |
| Soggetto topico |
Research methods: general
Society & culture: general |
| Soggetto non controllato | evidence; Evidence-based policy; Impact agenda; Knowledge exchange; policymaking; Public and social policy; Public engagement; Research ethics; Research practices |
| ISBN | 1-4473-6397-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Matter -- Contents -- List of figures, tables and boxes -- Notes on contributors -- Introduction: Ethical evidence and policymaking -- Fundamentals of evidence and ethical dimensions in policymaking -- Ethical research in a global context: a dynamic tension between universal values, principles and contextual applications -- One size fits all? The problems of offering ethical guidance to everyone -- Trust in institutions or the scientist? The drivers and mechanisms of trust in research and innovation as a means to improve related political outcomes -- Modes of influence: what can we learn from international codes of ethics for health-related research? -- Interdisciplinary perspectives on ethics and integrity in Europe: acknowledging differences to foster mutual understanding -- An ethical framework for think tanks: easier drafted than done? -- Ethical evidence in specific policy domains -- Ethical research in public policy -- Bitter harvests: ethical divides in the GM foods debate -- Ethics in smart information systems -- The AI industry and regulation: time for implementation? -- Cardiovascular disease prevention and health promotion in times of a pandemic: a global health case study -- Conducting ethical research in crisis situations: COVID-19 -- Ethics in research for resilience and societal collapse -- Research relationships and positionality: adult-child power relations -- Case studies -- What is good evidence? -- Black Lives Matter: reconsidering systemic racism -- The state of scientific policy advice: reflections on strategies and challenges of foreign policy think tanks in times of crisis -- Increasing the impact of research through policy: the role of academic publishers in bringing researchers and policymakers together -- Index |
| Record Nr. | UNISA-996517759203316 |
| Bristol : , : Policy Press, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
ICDM 2008 : proceedings, Eighh IEEE International Conference on Data Mining : 15-19 December 2008, Pisa, Italy
| ICDM 2008 : proceedings, Eighh IEEE International Conference on Data Mining : 15-19 December 2008, Pisa, Italy |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society, 2008 |
| Soggetto topico | Data mining |
| ISBN | 1-5090-7980-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996218404703316 |
| [Place of publication not identified], : IEEE Computer Society, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
ICDM 2008 : proceedings, Eighh IEEE International Conference on Data Mining : 15-19 December 2008, Pisa, Italy
| ICDM 2008 : proceedings, Eighh IEEE International Conference on Data Mining : 15-19 December 2008, Pisa, Italy |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society, 2008 |
| Soggetto topico | Data mining |
| ISBN | 1-5090-7980-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910140045003321 |
| [Place of publication not identified], : IEEE Computer Society, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge Discovery in Databases: PKDD 2004 [[electronic resource] ] : 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings / / edited by Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi
| Knowledge Discovery in Databases: PKDD 2004 [[electronic resource] ] : 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings / / edited by Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi |
| Edizione | [1st ed. 2004.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 |
| Descrizione fisica | 1 online resource (XIX, 562 p.) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data structures (Computer science) Database management Information storage and retrieval Mathematical statistics Natural language processing (Computer science) Artificial Intelligence Data Structures and Information Theory Database Management Information Storage and Retrieval Probability and Statistics in Computer Science Natural Language Processing (NLP) |
| ISBN | 3-540-30116-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Random Matrices in Data Analysis -- Data Privacy -- Breaking Through the Syntax Barrier: Searching with Entities and Relations -- Real-World Learning with Markov Logic Networks -- Strength in Diversity: The Advance of Data Analysis -- Contributed Papers -- Mining Positive and Negative Association Rules: An Approach for Confined Rules -- An Experiment on Knowledge Discovery in Chemical Databases -- Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering -- Combining Multiple Clustering Systems -- Reducing Data Stream Sliding Windows by Cyclic Tree-Like Histograms -- A Framework for Data Mining Pattern Management -- Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach -- AutoPart: Parameter-Free Graph Partitioning and Outlier Detection -- Properties and Benefits of Calibrated Classifiers -- A Tree-Based Approach to Clustering XML Documents by Structure -- Discovery of Regulatory Connections in Microarray Data -- Learning from Little: Comparison of Classifiers Given Little Training -- Geometric and Combinatorial Tiles in 0–1 Data -- Document Classification Through Interactive Supervision of Document and Term Labels -- Classifying Protein Fingerprints -- Finding Interesting Pass Patterns from Soccer Game Records -- Discovering Unexpected Information for Technology Watch -- Scalable Density-Based Distributed Clustering -- Summarization of Dynamic Content in Web Collections -- Mining Thick Skylines over Large Databases -- Ensemble Feature Ranking -- Privately Computing a Distributed k-nn Classifier -- Incremental Nonlinear PCA for Classification -- A Spectroscopy of Texts for Effective Clustering -- Constraint-Based Mining of Episode Rules and Optimal Window Sizes -- Analysing Customer Churn in Insurance Data – A Case Study -- Nomograms for Visualization of Naive Bayesian Classifier -- Using a Hash-Based Method for Apriori-Based Graph Mining -- Evaluation of Rule Interestingness Measures with a Clinical Dataset on Hepatitis -- Classification in Geographical Information Systems -- Digging into Acceptor Splice Site Prediction: An Iterative Feature Selection Approach -- Itemset Classified Clustering -- Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering -- Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining -- A Quantification of Cluster Novelty with an Application to Martian Topography -- Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators -- Text Mining for Finding Functional Community of Related Genes Using TCM Knowledge -- Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources -- A New Scheme on Privacy Preserving Association Rule Mining -- Posters -- A Unified and Flexible Framework for Comparing Simple and Complex Patterns -- Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data -- Learning from Multi-source Data -- The Anatomy of SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets -- COCOA: Compressed Continuity Analysis for Temporal Databases -- Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method -- A Tolerance Rough Set Approach to Clustering Web Search Results -- Improving the Performance of the RISE Algorithm -- Mining History of Changes to Web Access Patterns -- Demonstration Papers -- Visual Mining of Spatial Time Series Data -- Detecting Driving Awareness -- An Effective Recommender System for Highly Dynamic and Large Web Sites -- SemanticTalk: Software for Visualizing Brainstorming Sessions and Thematic Concept Trails on Document Collections -- Orange: From Experimental Machine Learning to Interactive Data Mining -- Terrorist Detection System -- Experimenting SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets -- HIClass: Hyper-interactive Text Classification by Interactive Supervision of Document and Term Labels -- Balios – The Engine for Bayesian Logic Programs -- SEWeP: A Web Mining System Supporting Semantic Personalization -- SPIN! Data Mining System Based on Component Architecture. |
| Record Nr. | UNISA-996465661603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Knowledge Discovery in Databases: PKDD 2004 : 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings / / edited by Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi
| Knowledge Discovery in Databases: PKDD 2004 : 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings / / edited by Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi |
| Edizione | [1st ed. 2004.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 |
| Descrizione fisica | 1 online resource (XIX, 562 p.) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data structures (Computer science) Database management Information storage and retrieval Mathematical statistics Natural language processing (Computer science) Artificial Intelligence Data Structures and Information Theory Database Management Information Storage and Retrieval Probability and Statistics in Computer Science Natural Language Processing (NLP) |
| ISBN | 3-540-30116-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Random Matrices in Data Analysis -- Data Privacy -- Breaking Through the Syntax Barrier: Searching with Entities and Relations -- Real-World Learning with Markov Logic Networks -- Strength in Diversity: The Advance of Data Analysis -- Contributed Papers -- Mining Positive and Negative Association Rules: An Approach for Confined Rules -- An Experiment on Knowledge Discovery in Chemical Databases -- Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering -- Combining Multiple Clustering Systems -- Reducing Data Stream Sliding Windows by Cyclic Tree-Like Histograms -- A Framework for Data Mining Pattern Management -- Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach -- AutoPart: Parameter-Free Graph Partitioning and Outlier Detection -- Properties and Benefits of Calibrated Classifiers -- A Tree-Based Approach to Clustering XML Documents by Structure -- Discovery of Regulatory Connections in Microarray Data -- Learning from Little: Comparison of Classifiers Given Little Training -- Geometric and Combinatorial Tiles in 0–1 Data -- Document Classification Through Interactive Supervision of Document and Term Labels -- Classifying Protein Fingerprints -- Finding Interesting Pass Patterns from Soccer Game Records -- Discovering Unexpected Information for Technology Watch -- Scalable Density-Based Distributed Clustering -- Summarization of Dynamic Content in Web Collections -- Mining Thick Skylines over Large Databases -- Ensemble Feature Ranking -- Privately Computing a Distributed k-nn Classifier -- Incremental Nonlinear PCA for Classification -- A Spectroscopy of Texts for Effective Clustering -- Constraint-Based Mining of Episode Rules and Optimal Window Sizes -- Analysing Customer Churn in Insurance Data – A Case Study -- Nomograms for Visualization of Naive Bayesian Classifier -- Using a Hash-Based Method for Apriori-Based Graph Mining -- Evaluation of Rule Interestingness Measures with a Clinical Dataset on Hepatitis -- Classification in Geographical Information Systems -- Digging into Acceptor Splice Site Prediction: An Iterative Feature Selection Approach -- Itemset Classified Clustering -- Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering -- Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining -- A Quantification of Cluster Novelty with an Application to Martian Topography -- Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators -- Text Mining for Finding Functional Community of Related Genes Using TCM Knowledge -- Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources -- A New Scheme on Privacy Preserving Association Rule Mining -- Posters -- A Unified and Flexible Framework for Comparing Simple and Complex Patterns -- Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data -- Learning from Multi-source Data -- The Anatomy of SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets -- COCOA: Compressed Continuity Analysis for Temporal Databases -- Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method -- A Tolerance Rough Set Approach to Clustering Web Search Results -- Improving the Performance of the RISE Algorithm -- Mining History of Changes to Web Access Patterns -- Demonstration Papers -- Visual Mining of Spatial Time Series Data -- Detecting Driving Awareness -- An Effective Recommender System for Highly Dynamic and Large Web Sites -- SemanticTalk: Software for Visualizing Brainstorming Sessions and Thematic Concept Trails on Document Collections -- Orange: From Experimental Machine Learning to Interactive Data Mining -- Terrorist Detection System -- Experimenting SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets -- HIClass: Hyper-interactive Text Classification by Interactive Supervision of Document and Term Labels -- Balios – The Engine for Bayesian Logic Programs -- SEWeP: A Web Mining System Supporting Semantic Personalization -- SPIN! Data Mining System Based on Component Architecture. |
| Record Nr. | UNINA-9910144348603321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Learning: ECML 2004 [[electronic resource] ] : 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings / / edited by Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi
| Machine Learning: ECML 2004 [[electronic resource] ] : 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings / / edited by Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi |
| Edizione | [1st ed. 2004.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 |
| Descrizione fisica | 1 online resource (XVIII, 582 p.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Mathematical logic Database management Artificial Intelligence Algorithm Analysis and Problem Complexity Mathematical Logic and Formal Languages Database Management |
| ISBN | 3-540-30115-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Random Matrices in Data Analysis -- Data Privacy -- Breaking Through the Syntax Barrier: Searching with Entities and Relations -- Real-World Learning with Markov Logic Networks -- Strength in Diversity: The Advance of Data Analysis -- Contributed Papers -- Filtered Reinforcement Learning -- Applying Support Vector Machines to Imbalanced Datasets -- Sensitivity Analysis of the Result in Binary Decision Trees -- A Boosting Approach to Multiple Instance Learning -- An Experimental Study of Different Approaches to Reinforcement Learning in Common Interest Stochastic Games -- Learning from Message Pairs for Automatic Email Answering -- Concept Formation in Expressive Description Logics -- Multi-level Boundary Classification for Information Extraction -- An Analysis of Stopping and Filtering Criteria for Rule Learning -- Adaptive Online Time Allocation to Search Algorithms -- Model Approximation for HEXQ Hierarchical Reinforcement Learning -- Iterative Ensemble Classification for Relational Data: A Case Study of Semantic Web Services -- Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics -- Experiments in Value Function Approximation with Sparse Support Vector Regression -- Constructive Induction for Classifying Time Series -- Fisher Kernels for Logical Sequences -- The Enron Corpus: A New Dataset for Email Classification Research -- Margin Maximizing Discriminant Analysis -- Multi-objective Classification with Info-Fuzzy Networks -- Improving Progressive Sampling via Meta-learning on Learning Curves -- Methods for Rule Conflict Resolution -- An Efficient Method to Estimate Labelled Sample Size for Transductive LDA(QDA/MDA) Based on Bayes Risk -- Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection -- Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework -- Justification-Based Selection of Training Examples for Case Base Reduction -- Using Feature Conjunctions Across Examples for Learning Pairwise Classifiers -- Feature Selection Filters Based on the Permutation Test -- Sparse Distributed Memories for On-Line Value-Based Reinforcement Learning -- Improving Random Forests -- The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering -- Using String Kernels to Identify Famous Performers from Their Playing Style -- Associative Clustering -- Learning to Fly Simple and Robust -- Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data -- Matching Model Versus Single Model: A Study of the Requirement to Match Class Distribution Using Decision Trees -- Inducing Polynomial Equations for Regression -- Efficient Hyperkernel Learning Using Second-Order Cone Programming -- Effective Voting of Heterogeneous Classifiers -- Convergence and Divergence in Standard and Averaging Reinforcement Learning -- Document Representation for One-Class SVM -- Naive Bayesian Classifiers for Ranking -- Conditional Independence Trees -- Exploiting Unlabeled Data in Content-Based Image Retrieval -- Population Diversity in Permutation-Based Genetic Algorithm -- Simultaneous Concept Learning of Fuzzy Rules -- Posters -- SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data -- Estimating Attributed Central Orders -- Batch Reinforcement Learning with State Importance -- Explicit Local Models: Towards “Optimal” Optimization Algorithms -- An Intelligent Model for the Signorini Contact Problem in Belt Grinding Processes -- Cluster-Grouping: From Subgroup Discovery to Clustering. |
| Record Nr. | UNISA-996465310603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning: ECML 2004 : 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings / / edited by Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi
| Machine Learning: ECML 2004 : 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings / / edited by Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi |
| Edizione | [1st ed. 2004.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 |
| Descrizione fisica | 1 online resource (XVIII, 582 p.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Mathematical logic Database management Artificial Intelligence Algorithm Analysis and Problem Complexity Mathematical Logic and Formal Languages Database Management |
| ISBN | 3-540-30115-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Random Matrices in Data Analysis -- Data Privacy -- Breaking Through the Syntax Barrier: Searching with Entities and Relations -- Real-World Learning with Markov Logic Networks -- Strength in Diversity: The Advance of Data Analysis -- Contributed Papers -- Filtered Reinforcement Learning -- Applying Support Vector Machines to Imbalanced Datasets -- Sensitivity Analysis of the Result in Binary Decision Trees -- A Boosting Approach to Multiple Instance Learning -- An Experimental Study of Different Approaches to Reinforcement Learning in Common Interest Stochastic Games -- Learning from Message Pairs for Automatic Email Answering -- Concept Formation in Expressive Description Logics -- Multi-level Boundary Classification for Information Extraction -- An Analysis of Stopping and Filtering Criteria for Rule Learning -- Adaptive Online Time Allocation to Search Algorithms -- Model Approximation for HEXQ Hierarchical Reinforcement Learning -- Iterative Ensemble Classification for Relational Data: A Case Study of Semantic Web Services -- Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics -- Experiments in Value Function Approximation with Sparse Support Vector Regression -- Constructive Induction for Classifying Time Series -- Fisher Kernels for Logical Sequences -- The Enron Corpus: A New Dataset for Email Classification Research -- Margin Maximizing Discriminant Analysis -- Multi-objective Classification with Info-Fuzzy Networks -- Improving Progressive Sampling via Meta-learning on Learning Curves -- Methods for Rule Conflict Resolution -- An Efficient Method to Estimate Labelled Sample Size for Transductive LDA(QDA/MDA) Based on Bayes Risk -- Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection -- Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework -- Justification-Based Selection of Training Examples for Case Base Reduction -- Using Feature Conjunctions Across Examples for Learning Pairwise Classifiers -- Feature Selection Filters Based on the Permutation Test -- Sparse Distributed Memories for On-Line Value-Based Reinforcement Learning -- Improving Random Forests -- The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering -- Using String Kernels to Identify Famous Performers from Their Playing Style -- Associative Clustering -- Learning to Fly Simple and Robust -- Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data -- Matching Model Versus Single Model: A Study of the Requirement to Match Class Distribution Using Decision Trees -- Inducing Polynomial Equations for Regression -- Efficient Hyperkernel Learning Using Second-Order Cone Programming -- Effective Voting of Heterogeneous Classifiers -- Convergence and Divergence in Standard and Averaging Reinforcement Learning -- Document Representation for One-Class SVM -- Naive Bayesian Classifiers for Ranking -- Conditional Independence Trees -- Exploiting Unlabeled Data in Content-Based Image Retrieval -- Population Diversity in Permutation-Based Genetic Algorithm -- Simultaneous Concept Learning of Fuzzy Rules -- Posters -- SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data -- Estimating Attributed Central Orders -- Batch Reinforcement Learning with State Importance -- Explicit Local Models: Towards “Optimal” Optimization Algorithms -- An Intelligent Model for the Signorini Contact Problem in Belt Grinding Processes -- Cluster-Grouping: From Subgroup Discovery to Clustering. |
| Record Nr. | UNINA-9910144348703321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||