Using genetic algorithms to inductively reason with cases in the legal domain
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Analysis and design of server informative WWW-sites
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
A data mining application: customer retention at the Port of Singapore Authority (PSA)
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Parsimonious Least Norm Approximation
Computational Optimization and Applications
A framework for measuring changes in data characteristics
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Scaling mining algorithms to large databases
Communications of the ACM - Evolving data mining into solutions for insights
Mathematical Programming in Data Mining
Data Mining and Knowledge Discovery
Two Projects for Understanding the Mind: A Response toMorris and Richardson
Minds and Machines
The enabling role of decision support systems in organizational learning
Decision Support Systems
Machines that learn to play games
Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set Model
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Discovery of Positive and Negative Knowledge in Medical Databases Using Rough Sets
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Imitation in animals and artifacts
Handbook of data mining and knowledge discovery
Discovery of approximate knowledge in medical databases based on rough set model
Data mining, rough sets and granular computing
Pattern Discovery based on Rule Induction and Taxonomy Generation
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
On utility of inductive learning in multiobjective robust design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Extraction of structure of medical diagnosis from clinical data
Fundamenta Informaticae - Special issue on the 9th international conference on rough sets, fuzzy sets, data mining and granular computing (RSFDGrC 2003)
Learning and Education: A Continuing Frontier for AI
IEEE Intelligent Systems
A New Density-Based Scheme for Clustering Based on Genetic Algorithm
Fundamenta Informaticae
Journal of Biomedical Informatics
Requirements for Machine Lifelong Learning
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Systems modelling on the basis of rough and rough-fuzzy approach
WSEAS Transactions on Information Science and Applications
Information system classification
ISTASC'08 Proceedings of the 8th conference on Systems theory and scientific computation
Why Applying Agent Technology to Autonomic Computing?
Proceedings of the 2005 conference on Self-Organization and Autonomic Informatics (I)
Machine learning in prognosis of the femoral neck fracture recovery
Artificial Intelligence in Medicine
Divide and Conquer Neural Networks
Neural Networks
Schematic aspect for autonomous agent
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartII
Cognitive model of schema as complex system
ICCSA'07 Proceedings of the 2007 international conference on Computational science and Its applications - Volume Part II
Data mining in meningoencephalitis: the starting point of discovery challenge
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
From clusters to rules: a hybrid framework for generalized symbolic rule induction
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
On cognitive role of negative schema
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II
Time complexity of decision trees
Transactions on Rough Sets III
Machine learning for medical diagnosis: history, state of the art and perspective
Artificial Intelligence in Medicine
A New Density-Based Scheme for Clustering Based on Genetic Algorithm
Fundamenta Informaticae
Extraction of Structure of Medical Diagnosis from Clinical Data
Fundamenta Informaticae - The 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Conputing (RSFDGrC 2003)
Machine Learning Through Data Classification and Reduction
Fundamenta Informaticae
| Hi-index | 0.00 |
From the Publisher:The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous growth in the field, and this growth promises to continue with valuable contributions to science, engineering, and business. Readings in Machine Learning collects the best of the published machine learning literature, including papers that address a wide range of learning tasks, and that introduce a variety of techniques for giving machines the ability to learn. The editors, in cooperation with a group of expert referees, have chosen important papers that empirically study, theoretically analyze, or psychologically justify machine learning algorithms. The papers are grouped into a dozen categories, each of which is introduced by the editors.