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Discovery Science [[electronic resource] ] : 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009 / / edited by João Gama, Vitor Santos Costa, Alipio Jorge, Pavel Brazdil
| Discovery Science [[electronic resource] ] : 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009 / / edited by João Gama, Vitor Santos Costa, Alipio Jorge, Pavel Brazdil |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XIII, 474 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer communication systems Data mining Information storage and retrieval Application software User interfaces (Computer systems) Artificial Intelligence Computer Communication Networks Data Mining and Knowledge Discovery Information Storage and Retrieval Information Systems Applications (incl. Internet) User Interfaces and Human Computer Interaction |
| ISBN | 3-642-04747-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Inference and Learning in Planning (Extended Abstract) -- Mining Heterogeneous Information Networks by Exploring the Power of Links -- Learning on the Web -- Learning and Domain Adaptation -- The Two Faces of Active Learning -- An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting -- Detecting New Kinds of Patient Safety Incidents -- Using Data Mining for Wine Quality Assessment -- MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio -- On the Complexity of Constraint-Based Theory Extraction -- Algorithm and Feature Selection for VegOut: A Vegetation Condition Prediction Tool -- Regression Trees from Data Streams with Drift Detection -- Mining Frequent Bipartite Episode from Event Sequences -- CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks -- Learning Large Margin First Order Decision Lists for Multi-Class Classification -- Centrality Measures from Complex Networks in Active Learning -- Player Modeling for Intelligent Difficulty Adjustment -- Unsupervised Fuzzy Clustering for the Segmentation and Annotation of Upwelling Regions in Sea Surface Temperature Images -- Discovering the Structures of Open Source Programs from Their Developer Mailing Lists -- A Comparison of Community Detection Algorithms on Artificial Networks -- Towards an Ontology of Data Mining Investigations -- OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers -- C-DenStream: Using Domain Knowledge on a Data Stream -- Discovering Influential Nodes for SIS Models in Social Networks -- An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules -- Precision and Recall for Regression -- Mining Local Correlation Patterns in Sets of Sequences -- Subspace Discovery for Promotion: A Cell Clustering Approach -- Contrasting Sequence Groups by Emerging Sequences -- A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams -- A Hybrid Collaborative Filtering System for Contextual Recommendations in Social Networks -- Linear Programming Boosting by Column and Row Generation -- Discovering Abstract Concepts to Aid Cross-Map Transfer for a Learning Agent -- A Dialectic Approach to Problem-Solving -- Gene Functional Annotation with Dynamic Hierarchical Classification Guided by Orthologs -- Stream Clustering of Growing Objects -- Finding the k-Most Abnormal Subgraphs from a Single Graph -- Latent Topic Extraction from Relational Table for Record Matching -- Computing a Comprehensible Model for Spam Filtering -- Better Decomposition Heuristics for the Maximum-Weight Connected Graph Problem Using Betweenness Centrality. |
| Record Nr. | UNISA-996465386403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning: ECML 2005 [[electronic resource] ] : 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings / / edited by João Gama, Rui Camacho, Pavel Brazdil, Alípio Jorge, Luís Torgo
| Machine Learning: ECML 2005 [[electronic resource] ] : 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings / / edited by João Gama, Rui Camacho, Pavel Brazdil, Alípio Jorge, Luís Torgo |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XXIII, 769 p.) |
| Disciplina | 006.3/1 |
| 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 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- Data Analysis in the Life Sciences — Sparking Ideas — -- Machine Learning for Natural Language Processing (and Vice Versa?) -- Statistical Relational Learning: An Inductive Logic Programming Perspective -- Recent Advances in Mining Time Series Data -- Focus the Mining Beacon: Lessons and Challenges from the World of E-Commerce -- Data Streams and Data Synopses for Massive Data Sets (Invited Talk) -- Long Papers -- Clustering and Metaclustering with Nonnegative Matrix Decompositions -- A SAT-Based Version Space Algorithm for Acquiring Constraint Satisfaction Problems -- Estimation of Mixture Models Using Co-EM -- Nonrigid Embeddings for Dimensionality Reduction -- Multi-view Discriminative Sequential Learning -- Robust Bayesian Linear Classifier Ensembles -- An Integrated Approach to Learning Bayesian Networks of Rules -- Thwarting the Nigritude Ultramarine: Learning to Identify Link Spam -- Rotational Prior Knowledge for SVMs -- On the LearnAbility of Abstraction Theories from Observations for Relational Learning -- Beware the Null Hypothesis: Critical Value Tables for Evaluating Classifiers -- Kernel Basis Pursuit -- Hybrid Algorithms with Instance-Based Classification -- Learning and Classifying Under Hard Budgets -- Training Support Vector Machines with Multiple Equality Constraints -- A Model Based Method for Automatic Facial Expression Recognition -- Margin-Sparsity Trade-Off for the Set Covering Machine -- Learning from Positive and Unlabeled Examples with Different Data Distributions -- Towards Finite-Sample Convergence of Direct Reinforcement Learning -- Infinite Ensemble Learning with Support Vector Machines -- A Kernel Between Unordered Sets of Data: The Gaussian Mixture Approach -- Active Learning for Probability Estimation Using Jensen-Shannon Divergence -- Natural Actor-Critic -- Inducing Head-Driven PCFGs with Latent Heads: Refining a Tree-Bank Grammar for Parsing -- Learning (k,l)-Contextual Tree Languages for Information Extraction -- Neural Fitted Q Iteration – First Experiences with a Data Efficient Neural Reinforcement Learning Method -- MCMC Learning of Bayesian Network Models by Markov Blanket Decomposition -- On Discriminative Joint Density Modeling -- Model-Based Online Learning of POMDPs -- Simple Test Strategies for Cost-Sensitive Decision Trees -- -Likelihood and -Updating Algorithms: Statistical Inference in Latent Variable Models -- An Optimal Best-First Search Algorithm for Solving Infinite Horizon DEC-POMDPs -- Ensemble Learning with Supervised Kernels -- Using Advice to Transfer Knowledge Acquired in One Reinforcement Learning Task to Another -- A Distance-Based Approach for Action Recommendation -- Multi-armed Bandit Algorithms and Empirical Evaluation -- Annealed Discriminant Analysis -- Network Game and Boosting -- Model Selection in Omnivariate Decision Trees -- Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence -- Short Papers -- Learning to Complete Sentences -- The Huller: A Simple and Efficient Online SVM -- Inducing Hidden Markov Models to Model Long-Term Dependencies -- A Similar Fragments Merging Approach to Learn Automata on Proteins -- Nonnegative Lagrangian Relaxation of K-Means and Spectral Clustering -- Severe Class Imbalance: Why Better Algorithms Aren’t the Answer -- Approximation Algorithms for Minimizing Empirical Error by Axis-Parallel Hyperplanes -- A Comparison of Approaches for Learning Probability Trees -- Counting Positives Accurately Despite Inaccurate Classification -- Optimal Stopping and Constraints for Diffusion Models of Signals with Discontinuities -- An Evolutionary Function Approximation Approach to Compute Prediction in XCSF -- Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes -- Active Learning in Partially Observable Markov Decision Processes -- Machine Learning of Plan Robustness Knowledge About Instances -- Two Contributions of Constraint Programming to Machine Learning -- A Clustering Model Based on Matrix Approximation with Applications to Cluster System Log Files -- Detecting Fraud in Health Insurance Data: Learning to Model Incomplete Benford’s Law Distributions -- Efficient Case Based Feature Construction -- Fitting the Smallest Enclosing Bregman Ball -- Similarity-Based Alignment and Generalization -- Fast Non-negative Dimensionality Reduction for Protein Fold Recognition -- Mode Directed Path Finding -- Classification with Maximum Entropy Modeling of Predictive Association Rules -- Classification of Ordinal Data Using Neural Networks -- Independent Subspace Analysis on Innovations -- On Applying Tabling to Inductive Logic Programming -- Learning Models of Relational Stochastic Processes -- Error-Sensitive Grading for Model Combination -- Strategy Learning for Reasoning Agents -- Combining Bias and Variance Reduction Techniques for Regression Trees -- Analysis of Generic Perceptron-Like Large Margin Classifiers -- Multimodal Function Optimizing by a New Hybrid Nonlinear Simplex Search and Particle Swarm Algorithm. |
| Record Nr. | UNISA-996466223203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Progress in Artificial Intelligence: Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving [[electronic resource] ] : 10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Porto, Portugal, December 17-20, 2001. Proceedings / / edited by Pavel Brazdil, Alipio Jorge
| Progress in Artificial Intelligence: Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving [[electronic resource] ] : 10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Porto, Portugal, December 17-20, 2001. Proceedings / / edited by Pavel Brazdil, Alipio Jorge |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (XII, 424 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN | 3-540-45329-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Speakers -- Agent Programming in Ciao Prolog -- Multi-relational Data Mining: A Perspective -- A Comparison of GLOWER and Other Machine Learning Methods for Investment Decision Making -- Extraction of Knowledge from Databases -- Parallel Implementation of Decision Tree Learning Algorithms -- Reducing Rankings of Classifiers by Eliminating Redundant Classifiers -- Non-parametric Nearest Neighbor with Local Adaptation -- Selection Restrictions Acquisition from Corpora -- Classification Rule Learning with APRIORI-C -- Proportional Membership in Fuzzy Clustering as a Model of Ideal Types -- Evolution of Cubic Spline Activation Functions for Artificial Neural Networks -- Multilingual Document Clustering, Topic Extraction and Data Transformations -- Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms before Choosing -- Recursive Adaptive ECOC models -- A Study on End-Cut Preference in Least Squares Regression Trees -- Artificial Intelligence Techniques for Financial Time Series Analysis -- The Use of Domain Knowledge in Feature Construction for Financial Time Series Prediction -- Optimizing the Sharpe Ratio for a Rank Based Trading System -- Multi-agent Systems:Theory and Applications -- Choice: The Key for Autonomy -- Dynamic Evaluation of Coordination Mechanisms for Autonomous Agents -- Evolving Multi-agent Viewpoints — An Architecture -- Enabling Agents to Update Their Knowledge and to Prefer -- Modelling Agent Societies: Co-ordination Frameworks and Institutions -- Argumentation as Distributed Belief Revision: Conflict Resolution in Decentralised Co-operative Multi-agent Systems -- Scheduling, Re-scheduling and Communication in the Multi-agent Extended Enterprise Environment -- Electronic Institutions as a Framework for Agents’ Negotiation and Mutual Commitment -- An Imitation-Based Approach to Modeling Homogenous Agents Societies -- Logics and Logic Programming for Artificial Intelligence -- Situation Calculus as Hybrid Logic: First Steps -- A Modified Semantics for LUPS -- On the Use of Multi-dimensional Dynamic Logic Programming to Represent Societal Agents’ Viewpoints -- A Procedural Semantics for Multi-adjoint Logic Programming -- Representing and Reasoning on Three-Dimensional Qualitative Orientation Point Objects -- Encodings for Equilibrium Logic and Logic Programs with Nested Expressions -- A Context-Free Grammar Representation for Normal Inhabitants of Types in TA? -- Permissive Belief Revision -- Constraint Satisfaction -- Global Hull Consistency with Local Search for Continuous Constraint Solving -- Towards Provably Complete Stochastic Search Algorithms for Satisfiability -- A Combined Constraint-Based Search Method for Single-Track Railway Scheduling Problem -- Planning -- A Temporal Planning System for Time-Optimal Planning -- SimPlanner: An Execution-Monitoring System for Replanning in Dynamic Worlds -- Hybrid Hierarchical Knowledge Organization for Planning -- STeLLa: An Optimal Sequential and Parallel Planner. |
| Record Nr. | UNISA-996465317903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Progress in Artificial Intelligence: Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving : 10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Porto, Portugal, December 17-20, 2001. Proceedings / / edited by Pavel Brazdil, Alipio Jorge
| Progress in Artificial Intelligence: Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving : 10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Porto, Portugal, December 17-20, 2001. Proceedings / / edited by Pavel Brazdil, Alipio Jorge |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (XII, 424 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN | 3-540-45329-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Speakers -- Agent Programming in Ciao Prolog -- Multi-relational Data Mining: A Perspective -- A Comparison of GLOWER and Other Machine Learning Methods for Investment Decision Making -- Extraction of Knowledge from Databases -- Parallel Implementation of Decision Tree Learning Algorithms -- Reducing Rankings of Classifiers by Eliminating Redundant Classifiers -- Non-parametric Nearest Neighbor with Local Adaptation -- Selection Restrictions Acquisition from Corpora -- Classification Rule Learning with APRIORI-C -- Proportional Membership in Fuzzy Clustering as a Model of Ideal Types -- Evolution of Cubic Spline Activation Functions for Artificial Neural Networks -- Multilingual Document Clustering, Topic Extraction and Data Transformations -- Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms before Choosing -- Recursive Adaptive ECOC models -- A Study on End-Cut Preference in Least Squares Regression Trees -- Artificial Intelligence Techniques for Financial Time Series Analysis -- The Use of Domain Knowledge in Feature Construction for Financial Time Series Prediction -- Optimizing the Sharpe Ratio for a Rank Based Trading System -- Multi-agent Systems:Theory and Applications -- Choice: The Key for Autonomy -- Dynamic Evaluation of Coordination Mechanisms for Autonomous Agents -- Evolving Multi-agent Viewpoints — An Architecture -- Enabling Agents to Update Their Knowledge and to Prefer -- Modelling Agent Societies: Co-ordination Frameworks and Institutions -- Argumentation as Distributed Belief Revision: Conflict Resolution in Decentralised Co-operative Multi-agent Systems -- Scheduling, Re-scheduling and Communication in the Multi-agent Extended Enterprise Environment -- Electronic Institutions as a Framework for Agents’ Negotiation and Mutual Commitment -- An Imitation-Based Approach to Modeling Homogenous Agents Societies -- Logics and Logic Programming for Artificial Intelligence -- Situation Calculus as Hybrid Logic: First Steps -- A Modified Semantics for LUPS -- On the Use of Multi-dimensional Dynamic Logic Programming to Represent Societal Agents’ Viewpoints -- A Procedural Semantics for Multi-adjoint Logic Programming -- Representing and Reasoning on Three-Dimensional Qualitative Orientation Point Objects -- Encodings for Equilibrium Logic and Logic Programs with Nested Expressions -- A Context-Free Grammar Representation for Normal Inhabitants of Types in TA? -- Permissive Belief Revision -- Constraint Satisfaction -- Global Hull Consistency with Local Search for Continuous Constraint Solving -- Towards Provably Complete Stochastic Search Algorithms for Satisfiability -- A Combined Constraint-Based Search Method for Single-Track Railway Scheduling Problem -- Planning -- A Temporal Planning System for Time-Optimal Planning -- SimPlanner: An Execution-Monitoring System for Replanning in Dynamic Worlds -- Hybrid Hierarchical Knowledge Organization for Planning -- STeLLa: An Optimal Sequential and Parallel Planner. |
| Record Nr. | UNINA-9910143918503321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||