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Artificial Intelligence in Medicine [[electronic resource] ] : 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Bled, Slovenia, July 2-6, 2011, Proceedings / / edited by Mor Peleg, Nada Lavrač, Carlo Combi
Artificial Intelligence in Medicine [[electronic resource] ] : 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Bled, Slovenia, July 2-6, 2011, Proceedings / / edited by Mor Peleg, Nada Lavrač, Carlo Combi
Edizione [1st ed. 2011.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011
Descrizione fisica 1 online resource (XVII, 355 p. 85 illus., 44 illus. in color.)
Disciplina 610.285
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Health informatics
Application software
Data mining
Database management
Computer communication systems
Artificial Intelligence
Health Informatics
Information Systems Applications (incl. Internet)
Data Mining and Knowledge Discovery
Database Management
Computer Communication Networks
Soggetto genere / forma Conference papers and proceedings.
ISBN 3-642-22218-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996466241003316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Discovery Science [[electronic resource] ] : 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings / / edited by Nada Lavrač, Ljupco Todorovski, Klaus P. Jantke
Discovery Science [[electronic resource] ] : 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings / / edited by Nada Lavrač, Ljupco Todorovski, Klaus P. Jantke
Edizione [1st ed. 2006.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Descrizione fisica 1 online resource (XIV, 386 p.)
Disciplina 501
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Philosophy and science
Artificial intelligence
Database management
Information storage and retrieval
Application software
Philosophy of Science
Artificial Intelligence
Database Management
Information Storage and Retrieval
Computer Appl. in Administrative Data Processing
Computer Appl. in Social and Behavioral Sciences
ISBN 3-540-46493-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- e-Science and the Semantic Web: A Symbiotic Relationship -- Data-Driven Discovery Using Probabilistic Hidden Variable Models -- Reinforcement Learning and Apprenticeship Learning for Robotic Control -- The Solution of Semi-Infinite Linear Programs Using Boosting-Like Methods -- Spectral Norm in Learning Theory: Some Selected Topics -- Long Papers -- Classification of Changing Regions Based on Temporal Context in Local Spatial Association -- Kalman Filters and Adaptive Windows for Learning in Data Streams -- Scientific Discovery: A View from the Trenches -- Optimal Bayesian 2D-Discretization for Variable Ranking in Regression -- Text Data Clustering by Contextual Graphs -- Automatic Water Eddy Detection in SST Maps Using Random Ellipse Fitting and Vectorial Fields for Image Segmentation -- Mining Approximate Motifs in Time Series -- Identifying Historical Period and Ethnic Origin of Documents Using Stylistic Feature Sets -- A New Family of String Classifiers Based on Local Relatedness -- On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets -- Mining Sectorial Episodes from Event Sequences -- A Voronoi Diagram Approach to Autonomous Clustering -- Itemset Support Queries Using Frequent Itemsets and Their Condensed Representations -- Strategy Diagram for Identifying Play Strategies in Multi-view Soccer Video Data -- Prediction of Domain-Domain Interactions Using Inductive Logic Programming from Multiple Genome Databases -- Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts -- Analysis of Linux Evolution Using Aligned Source Code Segments -- Rule-Based Prediction of Rare Extreme Values -- A Pragmatic Logic of Scientific Discovery -- Change Detection with Kalman Filter and CUSUM -- Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification -- A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms -- Model-Based Estimation of Word Saliency in Text -- Regular Papers -- Learning Bayesian Network Equivalence Classes from Incomplete Data -- Interesting Patterns Extraction Using Prior Knowledge -- Visual Interactive Subgroup Discovery with Numerical Properties of Interest -- Contextual Ontological Concepts Extraction -- Experiences from a Socio-economic Application of Induction Trees -- Interpreting Microarray Experiments Via Co-expressed Gene Groups Analysis (CGGA) -- Symmetric Item Set Mining Based on Zero-Suppressed BDDs -- Mathematical Models of Category-Based Induction -- Automatic Construction of Static Evaluation Functions for Computer Game Players -- Databases Reduction Simultaneously by Ordered Projection -- Mapping Ontologies in an Air Pollution Monitoring and Control Agent-Based System -- Information Theory and Classification Error in Probabilistic Classifiers -- Checking Scientific Assumptions by Modeling -- Incremental Algorithm Driven by Error Margins -- Feature Construction and ?-Free Sets in 0/1 Samples -- Visual Knowledge Discovery in Paleoclimatology with Parallel Coordinates -- A Novel Framework for Discovering Robust Cluster Results -- Gene Selection for Classifying Microarray Data Using Grey Relation Analysis.
Record Nr. UNISA-996466251703316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Inductive Logic Programming [[electronic resource] ] : 7th International Workshop, ILP-97, Prague, Czech Republic, September 17-20, 1997, Proceedings / / edited by Nada Lavrač, Saso Dzeroski
Inductive Logic Programming [[electronic resource] ] : 7th International Workshop, ILP-97, Prague, Czech Republic, September 17-20, 1997, Proceedings / / edited by Nada Lavrač, Saso Dzeroski
Edizione [1st ed. 1997.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997
Descrizione fisica 1 online resource (X, 318 p.)
Disciplina 005.1/15
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Architecture, Computer
Artificial intelligence
Computer programming
Computer System Implementation
Artificial Intelligence
Programming Techniques
ISBN 3-540-69587-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Knowledge discovery in databases: An overview -- On the complexity of some Inductive Logic Programming problems -- Inductive logic programming and constraint logic programming (abstract) -- Learning phonetic rules in a speech recognition system -- Cautious induction in inductive logic programming -- Generating numerical literals during refinement -- Lookahead and discretization in ILP -- Data mining via ILP: The application of Progol to a database of enantioseparations -- Part-of-speech tagging using Progol -- Maximum Entropy modeling with Clausal Constraints -- Mining association rules in multiple relations -- Using logical decision trees for clustering -- Induction of Slovene nominal paradigms -- Normal forms for inductive logic programming -- On a sufficient condition for the existence of most specific hypothesis in progol -- Induction of logic programs with more than one recursive clause by analyzing saturations -- A logical framework for graph theoretical decision tree learning -- Learning with abduction -- Systematic Predicate Invention in Inductive Logic Programming -- Learning programs in the event calculus -- Distance between Herbrand interpretations: A measure for approximations to a target concept -- Realizing Progol by forward reasoning -- Probabilistic first-order classification -- Learning Horn definitions with equivalence and membership queries -- Using abstraction schemata in inductive logic programming -- Distance induction in first order logic -- Carcinogenesis predictions using ILP -- Discovery of first-order regularities in a relational database using ofine candidate determination -- Which hypotheses can be found with inverse entailment?.
Record Nr. UNISA-996465503103316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997
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Knowledge Discovery in Databases: PKDD 2003 [[electronic resource] ] : 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings / / edited by Nada Lavrač, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski
Knowledge Discovery in Databases: PKDD 2003 [[electronic resource] ] : 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings / / edited by Nada Lavrač, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski
Edizione [1st ed. 2003.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003
Descrizione fisica 1 online resource (XVI, 508 p.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Data structures (Computer science)
Artificial intelligence
Mathematical logic
Mathematical statistics
Database management
Information storage and retrieval
Data Structures and Information Theory
Artificial Intelligence
Mathematical Logic and Formal Languages
Probability and Statistics in Computer Science
Database Management
Information Storage and Retrieval
ISBN 3-540-39804-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- From Knowledge-Based to Skill-Based Systems: Sailing as a Machine Learning Challenge -- Two-Eyed Algorithms and Problems -- Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data -- Taking Causality Seriously: Propensity Score Methodology Applied to Estimate the Effects of Marketing Interventions -- Contributed Papers -- Efficient Statistical Pruning of Association Rules -- Majority Classification by Means of Association Rules -- Adaptive Constraint Pushing in Frequent Pattern Mining -- ExAnte: Anticipated Data Reduction in Constrained Pattern Mining -- Minimal k-Free Representations of Frequent Sets -- Discovering Unbounded Episodes in Sequential Data -- Mr-SBC: A Multi-relational Naïve Bayes Classifier -- SMOTEBoost: Improving Prediction of the Minority Class in Boosting -- Using Belief Networks and Fisher Kernels for Structured Document Classification -- A Skeleton-Based Approach to Learning Bayesian Networks from Data -- On Decision Boundaries of Naïve Bayes in Continuous Domains -- Application of Inductive Logic Programming to Structure-Based Drug Design -- Visualizing Class Probability Estimators -- Automated Detection of Epidemics from the Usage Logs of a Physicians’ Reference Database -- An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations -- Preference Mining: A Novel Approach on Mining User Preferences for Personalized Applications -- Explaining Text Clustering Results Using Semantic Structures -- Analyzing Attribute Dependencies -- Ranking Interesting Subspaces for Clustering High Dimensional Data -- Efficiently Finding Arbitrarily Scaled Patterns in Massive Time Series Databases -- Using Transduction and Multi-view Learning to Answer Emails -- Exploring Fringe Settings of SVMs for Classification -- Rule Discovery and Probabilistic Modeling for Onomastic Data -- Constraint-Based Mining of Sequential Patterns over Datasets with Consecutive Repetitions -- Symbolic Distance Measurements Based on Characteristic Subspaces -- The Pattern Ordering Problem -- Collaborative Filtering Using Restoration Operators -- Efficient Frequent Query Discovery in Farmer -- Towards Behaviometric Security Systems: Learning to Identify a Typist -- Efficient Density Clustering Method for Spatial Data -- Statistical ?-Partition Clustering over Data Streams -- Enriching Relational Learning with Fuzzy Predicates -- Text Categorisation Using Document Profiling -- A Simple Algorithm for Topic Identification in 0–1 Data -- Bottom-Up Learning of Logic Programs for Information Extraction from Hypertext Documents -- Predicting Outliers -- Mining Rules of Multi-level Diagnostic Procedure from Databases -- Learning Characteristic Rules Relying on Quantified Paths -- Topic Learning from Few Examples -- Arbogodaï, a New Approach for Decision Trees.
Record Nr. UNISA-996465799403316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Machine Learning: ECML 2003 [[electronic resource] ] : 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings / / edited by Nada Lavrač, Dragan Gamberger, Ljupco Todorovski, Hendrik Blockeel
Machine Learning: ECML 2003 [[electronic resource] ] : 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings / / edited by Nada Lavrač, Dragan Gamberger, Ljupco Todorovski, Hendrik Blockeel
Edizione [1st ed. 2003.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003
Descrizione fisica 1 online resource (XVI, 512 p.)
Disciplina 006.31
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Algorithms
Mathematical logic
Artificial Intelligence
Algorithm Analysis and Problem Complexity
Mathematical Logic and Formal Languages
ISBN 3-540-39857-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- From Knowledge-Based to Skill-Based Systems: Sailing as a Machine Learning Challenge -- Two-Eyed Algorithms and Problems -- Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data -- Taking Causality Seriously: Propensity Score Methodology Applied to Estimate the Effects of Marketing Interventions -- Contributed Papers -- Support Vector Machines with Example Dependent Costs -- Abalearn: A Risk-Sensitive Approach to Self-play Learning in Abalone -- Life Cycle Modeling of News Events Using Aging Theory -- Unambiguous Automata Inference by Means of State-Merging Methods -- Could Active Perception Aid Navigation of Partially Observable Grid Worlds? -- Combined Optimization of Feature Selection and Algorithm Parameters in Machine Learning of Language -- Iteratively Extending Time Horizon Reinforcement Learning -- Volume under the ROC Surface for Multi-class Problems -- Improving the AUC of Probabilistic Estimation Trees -- Scaled CGEM: A Fast Accelerated EM -- Pairwise Preference Learning and Ranking -- A New Way to Introduce Knowledge into Reinforcement Learning -- Improvement of the State Merging Rule on Noisy Data in Probabilistic Grammatical Inference -- COllective INtelligence with Sequences of Actions -- Rademacher Penalization over Decision Tree Prunings -- Learning Rules to Improve a Machine Translation System -- Optimising Performance of Competing Search Engines in Heterogeneous Web Environments -- Robust k-DNF Learning via Inductive Belief Merging -- Logistic Model Trees -- Color Image Segmentation: Kernel Do the Feature Space -- Evaluation of Topographic Clustering and Its Kernelization -- A New Pairwise Ensemble Approach for Text Classification -- Self-evaluated Learning Agent in Multiple State Games -- Classification Approach towards Ranking and Sorting Problems -- Using MDP Characteristics to Guide Exploration in Reinforcement Learning -- Experiments with Cost-Sensitive Feature Evaluation -- A Markov Network Based Factorized Distribution Algorithm for Optimization -- On Boosting Improvement: Error Reduction and Convergence Speed-Up -- Improving SVM Text Classification Performance through Threshold Adjustment -- Backoff Parameter Estimation for the DOP Model -- Improving Numerical Prediction with Qualitative Constraints -- A Generative Model for Semantic Role Labeling -- Optimizing Local Probability Models for Statistical Parsing -- Extended Replicator Dynamics as a Key to Reinforcement Learning in Multi-agent Systems -- Visualizations for Assessing Convergence and Mixing of MCMC -- A Decomposition of Classes via Clustering to Explain and Improve Naive Bayes -- Improving Rocchio with Weakly Supervised Clustering -- A Two-Level Learning Method for Generalized Multi-instance Problems -- Clustering in Knowledge Embedded Space -- Ensembles of Multi-instance Learners.
Record Nr. UNISA-996465797303316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Machine Learning: ECML-95 [[electronic resource] ] : 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25 - 27, 1995. Proceedings / / edited by Nada Lavrač, Stefan Wrobel
Machine Learning: ECML-95 [[electronic resource] ] : 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25 - 27, 1995. Proceedings / / edited by Nada Lavrač, Stefan Wrobel
Edizione [1st ed. 1995.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1995
Descrizione fisica 1 online resource (XII, 376 p.)
Disciplina 006.3/1
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Algorithms
Artificial Intelligence
Algorithm Analysis and Problem Complexity
ISBN 3-540-49232-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Reasoning and learning in probabilistic and possibilistic networks: An overview -- Problem decomposition and the learning of skills -- Machine learning in the world wide web -- Abstract computer models: Towards a new method for theorizing about adaptive agents -- Learning abstract planning cases -- The role of prototypicality in exemplar-based learning -- Specialization of recursive predicates -- A distributed genetic algorithm improving the generalization behavior of neural networks -- Learning non-monotonic logic programs: Learning exceptions -- A comparative utility analysis of case-based reasoning and control-rule learning systems -- A minimization approach to propositional inductive learning -- On concept space and hypothesis space in case-based learning algorithms -- The power of decision tables -- Pruning multivariate decision trees by hyperplane merging -- Multiple-Knowledge Representations in concept learning -- The effect of numeric features on the scalability of inductive learning programs -- Analogical logic program synthesis from examples -- A guided tour through hypothesis spaces in ILP -- JIGSAW: Puzzling together RUTH and SPECTRE (Extended abstract) -- Discovery of constraints and data dependencies in relational databases (Extended abstract) -- Learning disjunctive normal forms in a dual classifier system (Extended abstract) -- The effects of noise on efficient incremental induction (Extended abstract) -- Analysis of Rachmaninoff's piano performances using inductive logic programming (Extended abstract) -- Handling real numbers in ILP: A step towards better behavioural clones (Extended abstract) -- Simplifying decision trees by pruning and grafting: New results (Extended abstract) -- A tight integration of pruning and learning (Extended abstract) -- Decision-tree based neural network (Extended abstract) -- Learning recursion with iterative bootstrap induction (Extended abstract) -- Patching proofs for reuse (Extended abstract) -- Adapting to drift in continuous domains (Extended abstract) -- Parallel recombinative reinforcement learning (Extended abstract) -- Learning to solve complex tasks for reactive systems (Extended abstract) -- Co-operative Reinforcement Learning by payoff filters (Extended abstract) -- Automatic synthesis of control programs by combination of learning and problem solving methods (Extended abstract) -- Analytical learning guided by empirical technology: An approach to integration (Extended abstract) -- A new MDL measure for robust rule induction (Extended abstract) -- Class-driven statistical discretization of continuous attributes (Extended abstract) -- Generating neural networks through the induction of threshold logic unit trees (Extended abstract) -- Learning classification rules using lattices (Extended abstract) -- Hybrid classification: Using axis-parallel and oblique subdivisions of the attribute space (Extended abstract) -- An induction-based control for genetic algorithms (Extended abstract) -- Fender: An approach to theory restructuring (extended abstract) -- Language series revisited: The complexity of hypothesis spaces in ILP (Extended abstract) -- Prototype, nearest neighbor and hybrid algorithms for time series classification (Extended abstract).
Record Nr. UNISA-996466104703316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1995
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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