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Machine Learning

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Machine Learning

  • Brand: Unbranded

$429.00

In stock
+ $11.99 Shipping

14-Day Returns Policy

Sold by:

$429.00

In stock
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14-Day Returns Policy

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Description

Machine Learning

Judge: A Case-Based Reasoning System. - Changing Language While Learning Recursive Descriptions from Examples. - Learning by Disjunctive Spanning. - Transfer of Knowledge between Teaching and Learning Systems. - Some Approaches to Knowledge Acquisition. - Analogical Learning with Multiple Models. - The World Modelers Project: Objectives and Simulator Architecture. - The Acquisition of Procedural Knowledge through Inductive Learning. - Learning Static Evaluation Functions by Linear Regression. - Plan Invention and Plan Transformation. - A Brief Overview of Explanatory Schema Acquisition. - The EG Project: Recent Progress. - Learning Causal Relations. - Functional Properties and Concept Formation. - Explanation-Based Learning in Logic Circuit Design. - A Proposed Method of Conceptual Clustering for Structured and Decomposable Objects. - Exploiting Functional Vocabularies to Learn Structural Descriptions. - Combining Numeric and Symbolic Learning Techniques. - Learning by Understanding Analogies. - Analogical Reasoning in the Context of Acquiring Problem Solving Expertise. - Planning and Learning in a Design Domain: The Problems Plan Interactions. - Inference of Incorrect Operators. - A Conceptual Framework for Concept Identification. - Neural Modeling as One Approach to Machine Learning. - Steps Toward Building a Dynamic Memory. - Learning by Composition. - Knowledge Acquisition: Investigations and General Principles. - Purpose-Directed Analogy: A Summary of Current Research. - Development of a Framework for Contextual Concept Learning. - On Safely Ignoring Hypotheses. - A Model of Acquiring Problem Solving Expertise. - Another Learning Problem: Symbolic Process Prediction. - Learning at LRI Orsay. - Coper: A Methodology for Learning Invariant Functional Descriptions. - Using Experience as a Guide for Problem Solving. - Heuristics as Invariants and its Application to Learning. - Components of Learning in a Reactive Environment. - The Development of Structures through Interaction. - Complex Learning Environments: Hierarchies and the use of Explanation. - Prediction and Control in an Active Environment. - Better Information Retrieval through Linguistic Sophistication. - Machine Learning Research in the Artificial Intelligence Laboratory at Illinois. - Overview of the Prodigy Learning Apprentice. - A Learning Apprentice System for VLSI Design. - Generalizing Explanations of Narratives into Schemata. - Why Are Design Derivations Hard to Replay?. - An Architecture for Experiential Learning. - Knowledge Extraction through Learning from Examples. - Learning Concepts with a Prototype-Based Model for Concept Representation. - Recent Progress on the Mathematician's Apprentice Project. - Acquiring Domain Knowledge from Fragments of Advice. - Calm: Contestation for Argumentative Learning Machine. - Directed Experimentation for Theory Revision and Conceptual Knowledge Acquisition. - Goal-Free Learning by Analogy. - A Scientific Approach to Practical Induction. - Exploring Shifts of Representation. - Current Research on Learning in Soar. - Learning Concepts in a Complex Robot World. - Learning Evaluation Functions. - Learning from Data with Errors. - Explanation-Based Manipulator Learning. - Learning Classical Physics. - Views and Causality in Discovery: Modelling Human Induction. - Learning Control Information. - An Investigation of the Nature of Mathematical Discovery. - Learning How to Reach a Goal: A Strategy for the Multiple Classes Classification Problem. - Conceptual Clustering Of Structured Objects. - Learning in Intractable Domains. - On Compiling Explainable Models of a Design Domain. - What Can BeLearned?. - Learning Heuristic Rules from Deep Reasoning. - Learning a Domain Theory by Completing Explanations. - Learning Implementation Rules with Operating-Conditions Depending on Internal Structures in VLSI Design. - Overview of the Odysseus Learning Apprentice. - Learning from Exceptions in Databases. - Learning Apprentice Systems Research at Schlumberger. - Language Acquisition: Learning Phrases in Context. - References. Language: English
  • Brand: Unbranded
  • Category: Computing & Internet
  • Artist: Tom M. Mitchell
  • Format: Paperback
  • Language: English
  • Publication Date: 2011/10/14
  • Publisher / Label: Springer
  • Number of Pages: 429
  • Fruugo ID: 337895567-741554877
  • ISBN: 9781461294061

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