Search Results - (( Defined contribution ((pension plans) OR (pension plan)) ) OR ((( Defined distribution properties plans ) OR ( Defined distributed decision plans ))))
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Agents and artificial intelligence : third International Conference, ICAART 2011, Rome, Italy, January 28-30, 2011. Revised selected papers
Published: Springer, 2013Contents: “…Web Service Composition Plans in OWL-S /…”Description: 1 online resource (xiii, 444 pages) : illustrations (black and white).
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Hybrid Artificial Intelligent Systems : 8th International Conference, HAIS 2013, Salamanca, Spain, September 11-13, 2013 : proceedings
Published: Springer, 2013Contents: “…A Hybrid Fuzzy Approach to Facility Location Decision-Making /…”Description: 1 online resource (xx, 691 pages) : illustrations.
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Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering
Published: Springer, 2013Contents: “…Recovery Time Analysis of a Distributed Redundancy Protocol --…”Description: 1 online resource.
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Artificial intelligence applications and innovations : 9th IFIP WG 12.5 International Conference, AIAI 2013, Paphos, Cyprus, September 30 October 2, 2013, Proceedings
Published: Springer, 2013Contents: SpringerLink - Click here for accessDescription: 1 online resource (xxviii, 709 pages) : illustrations.
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Advances in Computational Intelligence and Communication Technology : proceedings of CICT 2019
Published: Springer, 2021SpringerLink - Click here for accessDescription: 1 online resource (xiv, 574 pages).
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Current topics in artificial intelligence : 13th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2009, Seville, Spain, November 9-13, 2009. Selected Paper...
Published: Springer-Verlag, 2010Contents: “…Diagnosis -- Employing Test Suites for Verilog Fault Localization -- Analyzing the Influence of Differential Constraints in Possible Conflict and ARR Computation -- On the Complexity of Program Debugging Using Constraints for Modeling the Program's Syntax and Semantics -- Evolutive Algorithms and Neural Networks -- An Analysis of Particle Properties on a Multi-swarm PSO for Dynamic Optimization Problems -- An Incremental Learning Method for Neural Networks Based on Sensitivity Analysis -- A Multi-objective Neuro-evolutionary Algorithm to Obtain Interpretable Fuzzy Models -- Improving Isolated Handwritten Word Recognition Using a Specialized Classifier for Short Words -- Knowledge Representation and Engineering -- Closeness and Distance Relations in Order of Magnitude Qualitative Reasoning via PDL -- Base Belief Change for Finitary Monotonic Logics -- Common Pitfalls in Ontology Development -- Machine Learning -- Obtaining Optimal Class Distribution for Decision Trees: Comparative Analysis of CTC and C4.5 -- Selecting Few Genes for Microarray Gene Expression Classification -- Sequential Pattern Mining in Multi-relational Datasets -- CBR Outcome Evaluation for High Similar Cases: A Preliminary Approach -- On the Suitability of Combining Feature Selection and Resampling to Manage Data Complexity -- Automated Constraint Selection for Semi-supervised Clustering Algorithm -- Multiagents -- Empirical Hardness for Mixed Auctions -- Developing Strategies for the ART Domain -- A Multiagent Solution to Adaptively Classify SOAP Message and Protect against DoS Attack -- Natural Language -- Adding Morphological Information to a Connectionist Part-Of-Speech Tagger -- Planning -- A Look-Ahead B&B Search for Cost-Based Planning -- A Tabu Search Algorithm to Minimize Lateness in Scheduling Problems with Setup Times -- Improving Local Search for the Fuzzy Job Shop Using a Lower Bound -- Tutoring Systems -- Data-Driven Student Knowledge Assessment through Ill-Defined Procedural Tasks -- Uncertainty: Bayesian Networks -- Recursive Probability Trees for Bayesian Networks -- Vision -- Generating Saliency Maps Using Human Based Computation Agents -- A New Contiguity-Constrained Agglomerative Hierarchical Clustering Algorithm for Image Segmentation -- Applications -- Classifying Sleep Apneas Using Neural Networks and a Combination of Experts -- Expert System to Real Time Control of Machining Processes -- A Flexible System for Document Processing and Text Transcription.…”Description: 1 online resource (xii, 302 pages).
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Logic, rationality, and interaction : 7th International Workshop, LORI 2019, Chongqing, China, October 18-21, 2019, Proceedings
Published: Springer, 2019SpringerLink - Click here for accessDescription: 1 online resource (xxi, 441 pages) : illustrations (some color).
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Logic, Rationality, and Interaction : Second International Workshop, LORI 2009, Chongqing, China, October 8-11, 2009. Proceedings
Published: Springer-Verlag, 2009Contents: “…Contributed Papers -- Expressing Properties of Coalitional Ability under Resource Bounds -- Dynamic Context Logic -- Toward a Dynamic Logic of Questions -- A General Family of Preferential Belief Removal Operators -- Computing Compliance -- Attributing Distributed Responsibility in Stit Logic -- Characterizations of Iterated Admissibility Based on PEGL -- Can Doxastic Agents Learn? …”Description: 1 online resource.
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Machine learning : ECML 2006 : 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006 : proceedings
Published: Springer, 2006Contents: “…Invited Talks -- On Temporal Evolution in Data Streams -- The Future of CiteSeer: CiteSeerx -- Learning to Have Fun -- Winning the DARPA Grand Challenge -- Challenges of Urban Sensing -- Long Papers -- Learning in One-Shot Strategic Form Games -- A Selective Sampling Strategy for Label Ranking -- Combinatorial Markov Random Fields -- Learning Stochastic Tree Edit Distance -- Pertinent Background Knowledge for Learning Protein Grammars -- Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies -- Sequence Discrimination Using Phase-Type Distributions -- Languages as Hyperplanes: Grammatical Inference with String Kernels -- Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning -- Fisher Kernels for Relational Data -- Evaluating Misclassifications in Imbalanced Data -- Improving Control-Knowledge Acquisition for Planning by Active Learning -- PAC-Learning of Markov Models with Hidden State -- A Discriminative Approach for the Retrieval of Images from Text Queries -- TildeCRF: Conditional Random Fields for Logical Sequences -- Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data -- Bayesian Learning of Markov Network Structure -- Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks -- Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions -- EM Algorithm for Symmetric Causal Independence Models -- Deconvolutive Clustering of Markov States -- Patching Approximate Solutions in Reinforcement Learning -- Fast Variational Inference for Gaussian Process Models Through KL-Correction -- Bandit Based Monte-Carlo Planning -- Bayesian Learning with Mixtures of Trees -- Transductive Gaussian Process Regression with Automatic Model Selection -- Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees -- Why Is Rule Learning Optimistic and How to Correct It -- Automatically Evolving Rule Induction Algorithms -- Bayesian Active Learning for Sensitivity Analysis -- Mixtures of Kikuchi Approximations -- Boosting in PN Spaces -- Prioritizing Point-Based POMDP Solvers -- Graph Based Semi-supervised Learning with Sharper Edges -- Margin-Based Active Learning for Structured Output Spaces -- Skill Acquisition Via Transfer Learning and Advice Taking -- Constant Rate Approximate Maximum Margin Algorithms -- Batch Classification with Applications in Computer Aided Diagnosis -- Improving the Ranking Performance of Decision Trees -- Multiple-Instance Learning Via Random Walk -- Localized Alternative Cluster Ensembles for Collaborative Structuring -- Distributional Features for Text Categorization -- Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data -- An Adaptive Kernel Method for Semi-supervised Clustering -- To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles -- Ensembles of Nearest Neighbor Forecasts -- Short Papers -- Learning Process Models with Missing Data -- Case-Based Label Ranking -- Cascade Evaluation of Clustering Algorithms -- Making Good Probability Estimates for Regression -- Fast Spectral Clustering of Data Using Sequential Matrix Compression -- An Information-Theoretic Framework for High-Order Co-clustering of Heterogeneous Objects -- Efficient Inference in Large Conditional Random Fields -- A Kernel-Based Approach to Estimating Phase Shifts Between Irregularly Sampled Time Series: An Application to Gravitational Lenses -- Cost-Sensitive Decision Tree Learning for Forensic Classification -- The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces -- Right of Inference: Nearest Rectangle Learning Revisited -- Reinforcement Learning for MDPs with Constraints -- Efficient Non-linear Control Through Neuroevolution -- Efficient Prediction-Based Validation for Document Clustering -- On Testing the Missing at Random Assumption -- B-Matching for Spectral Clustering -- Multi-class Ensemble-Based Active Learning -- Active Learning with Irrelevant Examples -- Classification with Support Hyperplanes -- (Agnostic) PAC Learning Concepts in Higher-Order Logic -- Evaluating Feature Selection for SVMs in High Dimensions -- Revisiting Fisher Kernels for Document Similarities -- Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery -- Robust Probabilistic Calibration -- Missing Data in Kernel PCA -- Exploiting Extremely Rare Features in Text Categorization -- Efficient Large Scale Linear Programming Support Vector Machines -- An Efficient Approximation to Lookahead in Relational Learners -- Improvement of Systems Management Policies Using Hybrid Reinforcement Learning -- Diversified SVM Ensembles for Large Data Sets -- Dynamic Integration with Random Forests -- Bagging Using Statistical Queries -- Guiding the Search in the NO Region of the Phase Transition Problem with a Partial Subsumption Test -- Spline Embedding for Nonlinear Dimensionality Reduction -- Cost-Sensitive Learning of SVM for Ranking -- Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures.…”Description: 1 online resource (xxiii, 851 pages) : illustrations.
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