<b>Keywords:</b> Artificial Neural Networks and Learning, Fuzzy Logic, Fusion and Learning, Information Retrieval and Data Mining, Inductive Learning and Applications, Knowledge Representation and Management, Knowledge Acquisition and Discovery Techniques, Machine Learning in Problem Solving, Statistical Methods in Learning, Evolutionary Algorithms, Bayesian–Based Methodologies, Reinforcement Learning Methods, Grammatical Inference, Learning Models, Multi–Agent Learning, Cognitive Modeling, Hybrid Techniques, Hierarchical Learning Models, Collaborative Filtering, Case–Based Reasoning, Semantic Indexing, Natural Language Processing, Machine Translation, Markov Decision Processes (including Semi–Markov DM), ODE Methods and Machine Learning, Multi–Criteria Reinforcement Learning, Temporal Abstractions, Relational Learning Models, Feature Selection and Classification, Speedup Learning Techniques, Computational Needs of Learning Models, Learning by Examples, Formal Learning Methods, Graph–Based Learning, Theory Refinement Methodologies, Probabilistic Reasoning, Decision Trees, Learning Based on Adaptive Techniques, Learning Topological Maps, Verification Models, Mobile Robotics, Learning in Planning, Query Learning, Active Learning, Memory–Based Learning, Instance–Based Learning, Self–Adaptation Techniques, Requirements Models, Machine Learning and Software Engineering, Game Playing (Chess, ...), Performance Analysis, Transformation–Based Learning, Simulated Annealing and Learning, Life–Long Learning, Q–Learning, Predictive Learning Models, Text Categorization and Classification, Machine Learning Applications (Medicine, Games, Biology, Industrial, Applications, Robotics, Security and Terrorism Prevention, ...)
Abbrevation
MLMTA
City
Las Vegas
Country
United States
Deadline Paper
Start Date
End Date
Abstract