Robert Reynard - 1996 - Reference - Limited preview

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## A Philosophical Essay on ProbabilitiesIn this, his most famous work, Pierre-Simon, Marquis de Laplace lays out a system for reasoning based on probability. The single most famous piece introduced in this work is the rule of succession, which calculates the probability that a trial ... |

## Pattern classificationThis edition has been completely revised, enlarged and formatted in two colour. It is a systematic account of the major topics in pattern recognition, based on the fundamental principles. It includes extensive examples, exercises and a solutions ... |

## Data Mining: Practical Machine Learning Tools and Techniques, Second EditionAs with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there ... |

## The Elements of Statistical Learning: Data Mining, Inference, and Prediction ...During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these ... |

## The Nature of Statistical Learning TheoryThe aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and ... |

## Introduction to Statistical Relational LearningAdvanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications. |

## Probabilistic Graphical Models: Principles and TechniquesA general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions. |

## How to Build a Digital LibraryGiven modern society's need to control its ever-increasing body of information, digital libraries will be among the most important and influential institutions of this century. With their versatility, accessibility, and economy, these focused ... |

## Data Mining: Practical Machine Learning Tools and Techniques with Java ...This book offers a thorough grounding in machine learning concepts combined with practical advice on applying machine learning tools and techniques in real-world data mining situations. Clearly written and effectively illustrated, this book is ... |

## Causality: Models, Reasoning, and InferenceCausality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural ... |

## Probabilistic Reasoning in Intelligent Systems: Networks of Plausible InferenceProbabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of ... |

## Readings in uncertain reasoningComputing Methodologies -- Artificial Intelligence. |

## Heuristics: Intelligent Search Strategies for Computer Problem SolvingProblem-solving strartegies and the nature of Heuristic informatio n.Heuristics and problem representations. Basic Heuristic-Search procedures. Formal properties of Heuristic methods. Heuristics viewed as information provided by simplified models ... |

## Artificial Intelligence: A New SynthesisNilsson employs increasingly capable intelligent agents in an evolutionary approach--a novel perspective from which to view and teach topics in artificial intelligence. |

## Logical Foundations of Artificial IntelligenceLogical Foundations of Artificial Intelligence is an account of the fundamentals of artificial intelligence from the standpoint of logic. |

## Artificial Intelligence: Structures and Strategies for Complex Problem SolvingIn this accessible, comprehensive text, George Luger captures the essence of artificial intelligence-solving the complex problems that arise wherever computer technology is applied. Key representation techniques including logic, semantic and ... |

## Computation and Intelligence: Collected ReadingsComputation and Intelligence brings together 29 readings in Artificial Intelligence that are particularly relevant to today's student/practitioner. With its helpful critique of the selections, extensive bibliography, and clear presentation of the ... |

## Cognitive Science: The Science of Intelligent SystemsThe interdisciplinary field of cognitive science brings together elements of cognitive psychology, mathematics, perception, linguistics, and artificial intelligence. Given this breadth, textbooks have had difficulty providing balanced coverage ... |