Ryszard S Michalski


Ontology type: schema:Person     


Person Info

NAME

Ryszard S

SURNAME

Michalski

Publications in SciGraph latest 50 shown

  • 2012-08 Reasoning with unknown, not-applicable and irrelevant meta-values in concept learning and pattern discovery in JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
  • 2007 An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results in KNOWLEDGE DISCOVERY IN INDUCTIVE DATABASES
  • 2007 Generalizing Data in Natural Language in ROUGH SETS AND INTELLIGENT SYSTEMS PARADIGMS
  • 2007 Recent Advances in Conceptual Clustering: CLUSTER3 in SELECTED CONTRIBUTIONS IN DATA ANALYSIS AND CLASSIFICATION
  • 2006 Learning Symbolic User Models for Intrusion Detection: A Method and Initial Results in INTELLIGENT INFORMATION PROCESSING AND WEB MINING
  • 2006 The Use of Compound Attributes inAQ Learning in INTELLIGENT INFORMATION PROCESSING AND WEB MINING
  • 2005 Knowledge Visualization Using Optimized General Logic Diagrams in INTELLIGENT INFORMATION PROCESSING AND WEB MINING
  • 2005 A Rules-to-Trees Conversion in the Inductive Database System VINLEN in INTELLIGENT INFORMATION PROCESSING AND WEB MINING
  • 2003-03 Introduction in MACHINE LEARNING
  • 2003 The Development of the Inductive Database System VINLEN: A Review of Current Research in INTELLIGENT INFORMATION PROCESSING AND WEB MINING
  • 2002-07-02 Learning and Evolution: An Introduction to Non-darwinian Evolutionary Computation in FOUNDATIONS OF INTELLIGENT SYSTEMS
  • 2002 Modeling User Behavior by Integrating AQ Learning with a Database: Initial Results in INTELLIGENT INFORMATION SYSTEMS 2002
  • 2002 Incremental Learning with Partial Instance Memory in FOUNDATIONS OF INTELLIGENT SYSTEMS
  • 2001 Learning Patterns in Noisy Data: The AQ Approach in MACHINE LEARNING AND ITS APPLICATIONS
  • 2001 The Development of the AQ20 Learning System and Initial Experiments in INTELLIGENT INFORMATION SYSTEMS 2001
  • 2001 Discovering Multi-head Attributional Rules in Large Databases in INTELLIGENT INFORMATION SYSTEMS 2001
  • 2001 A Knowledge Scout for Discovering Medical Patterns: Methodology and System SCAMP in FLEXIBLE QUERY ANSWERING SYSTEMS
  • 2000-10 Selecting Examples for Partial Memory Learning in MACHINE LEARNING
  • 2000-03 An Adjustable Description Quality Measure for Pattern Discovery Using the AQ Methodology in JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
  • 2000-01 Guest Editors' Introduction in MACHINE LEARNING
  • 2000-01 LEARNABLE EVOLUTION MODEL: Evolutionary Processes Guided by Machine Learning in MACHINE LEARNING
  • 2000 Speeding Up Evolution through Learning: LEM in INTELLIGENT INFORMATION SYSTEMS
  • 2000 Inductive Databases and Knowledge Scouts in KNOWLEDGE DISCOVERY AND DATA MINING. CURRENT ISSUES AND NEW APPLICATIONS
  • 1999 Learning from inconsistent and noisy data: The AQ18 approach in FOUNDATIONS OF INTELLIGENT SYSTEMS
  • 1998 Data-Driven Constructive Induction: Methodology and Applications in FEATURE EXTRACTION, CONSTRUCTION AND SELECTION
  • 1997-06 Guest Editors' Introduction in MACHINE LEARNING
  • 1997 Detecting targets in SAR images: A machine learning approach in COMPUTER VISION — ACCV'98
  • 1996 A Multistrategy Conceptual Analysis of Economic Data in ARTIFICIAL INTELLIGENCE IN ECONOMICS AND MANAGMENT
  • 1996 Learning for decision making: The FRD approach and a comparative study in FOUNDATIONS OF INTELLIGENT SYSTEMS
  • 1996 The AQ17-DCI system for data-driven constructive induction and its application to the analysis of world economics in FOUNDATIONS OF INTELLIGENT SYSTEMS
  • 1995-12 An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts in MACHINE LEARNING
  • 1995-12 An integration of rule induction and exemplar-based learning for graded concepts in MACHINE LEARNING
  • 1994-02 Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments in MACHINE LEARNING
  • 1994 Inferential Design Theory: A Conceptual Outline in ARTIFICIAL INTELLIGENCE IN DESIGN ’94
  • 1994 Learning problem-oriented decision structures from decision rules: The AQDT-2 system in METHODOLOGIES FOR INTELLIGENT SYSTEMS
  • 1993-09 Learning decision trees from decision rules: A method and initial results from a comparative study in JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
  • 1993-05 Inferential theory of learning as a conceptual basis for multistrategy learning in MACHINE LEARNING
  • 1993-05 Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning in MACHINE LEARNING
  • 1993-05 Introduction in MACHINE LEARNING
  • 1993-05 Introduction in MACHINE LEARNING
  • 1993 Learning = Inferencing + Memorizing in FOUNDATIONS OF KNOWLEDGE ACQUISITION
  • 1993 Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning in MULTISTRATEGY LEARNING
  • 1993 Should decision trees be learned from examples or from decision rules? in METHODOLOGIES FOR INTELLIGENT SYSTEMS
  • 1993 Learning Flexible Concepts Using a Two-Tiered Representation in FOUNDATIONS OF KNOWLEDGE ACQUISITION
  • 1993 Introduction in MULTISTRATEGY LEARNING
  • 1992-08 Mining for knowledge in databases: The INLEN architecture, initial implementation and first results in JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
  • 1992-01 Learning two-tiered descriptions of flexible concepts: The POSEIDON system in MACHINE LEARNING
  • 1992-01 Learning Two-Tiered Descriptions of Flexible Concepts: The POSEIDON System in MACHINE LEARNING
  • 1991 Input understanding as a basis for multistrategy task-adaptive learning in METHODOLOGIES FOR INTELLIGENT SYSTEMS
  • 1991 Knowledge extraction from databases: Design principles of the INLEN system in METHODOLOGIES FOR INTELLIGENT SYSTEMS
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