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Home / Proceedings / Papers from the 1994 AAAI Fall Symposium /

fall-1994-02

Contents

  • Discussion of “Selecting Relevant Information and Delaying Irrelevant Data for Objects Recognition”

    Eric Neufield

    PDF
  • A Logical Notion of Conditional Independence: Properties and Applications

    Adnan Darwiche

    PDF
  • Understanding Relevance Vis-a-Vis Internal Transfer

    Angela Kennedy

    PDF
  • Forget It!

    Fangzhen Lin, Ray Reiter

    PDF
  • How Useful is Relevance?

    Rich Caruana, Dayne Freitag

    PDF
  • Belief-Based Irrelevance and Networks: Toward Faster Algorithms for Predication

    Moises Goldszmidt

    PDF
  • Discussion of Forget It!

    Axon Levy

    PDF
  • NP-Completeness of Searches for Smallest Possible Feature Sets
    PDF
  • Selecting Relevant Information and Delaying Irrelevant Data for Objects Recognition

    T. Pun, J-M. Bost, R. Milanese, C. Rauber, S. Startchik

    PDF
  • A Formal to Relevance: Extended Abstract

    James Delgrande, Francis Jeffry Pelletier

    PDF
  • Moises Goldszmidt’s “Belief-Based Irrelevance and Networks: Toward Faster Algorithms for Predication”

    Marek Druzdzel

    PDF
  • Relevance in Plan Recognition for Advice-Giving Systems

    Robin Cohen, Ken Schmidt, Peter van Bee

    PDF
  • Relevance in Probabilistic Models: Backyards in a Small World

    Marek Druzdzel, Henri Suermondt

    PDF
  • How to Retrieve Relevant Information?

    Igor Jurisica

    PDF
  • Identifying the Right Reasons: Learning to Filter Decision Makers

    Susan Epstein

    PDF
  • Nonmonotonic Logic for Analogical Reasoning

    Guiyou Qiu

    PDF
  • Relevance Reasoning in Test Retrieval

    Kathleen Dahlgren

    PDF
  • Selection of Relevant Features in Machine Learning

    Pat Langley

    PDF
  • Pruning Irrelevant Features from Oblivious Decision Trees

    Pat Langley, Stephanie Sage

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  • On Relevance in Non-monotonic Reasoning: Some Empirical Studies

    Renee Elio, Francis Jeffry Pelletier

    PDF
  • Learning from Relevant and Irrelevant Information

    Leona Fass

    PDF
  • Exploiting the Absence of Irrelevant Information: What You Don’t Know Can Help You

    R. Bharat Rao, Russell Greiner, Tom Hancock

    PDF
  • A Proof-Theoretic Approach to Irrelevance: Foundations and Applications

    Alon Levy, Richard Fikes, Yehoshua Sagiv

    PDF
  • Introduction

    Russell Greiner, Devika Subramanian

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  • Discussion of Exploiting Relevance through Model-Based Reasoning

    Bart Selman

    PDF
  • The Relevance of Trees

    Glenn Shafer

    PDF
  • Automated Modeling for Answering Prediction Questions: Selecting Relevant Influences

    Jeff Rickel, Bruce Porter

    PDF
  • Relevance in a Logic of Only Knowing About and its Axiomatization

    Gerhard Lakemeyer

    PDF
  • Commentary on Baum’s “How a Bayesian Approaches Games Like Chess”

    Stuart Russell

    PDF
  • Quantifying the Amount of Relevant Information
    PDF
  • Relevance Measures for Localized Partial Evaluation of Belief Networks

    Denise Draper

    PDF
  • Exploiting Relevance through Model-Based Reasoning

    Roni Khardon, Dan Roth

    PDF
  • Improving Source Selection in Analogical Reasoning An Interactionist Approach

    William Stubblefeld & George Luger

    PDF
  • Inconsistency and Redundancy Do Not Imply Irrelevance

    Eugene Freuder, Paul Hubbe, Daniel Sabin

    PDF
  • Feature Subset Selection as Search with Probabilistic Estimates

    Ron Kohavi

    PDF
  • Hypothesizing Relevant Situation Models

    Raj Bhatnagar

    PDF
  • Sifting Informative Examples from a Random Source

    Yoav Freund

    PDF
  • Discarding Irrelevant Parameters in Hidden Markov Model Based Part-of-Speech Taggers

    Eric Neufeld

    PDF
  • The Use of Relevance to Evaluate Learning Biases

    Marie desJardins

    PDF
  • Notes on Learning with Irrelevant Attributes in the PAC Model

    Aditi Dhagat, L. Hellerstein

    PDF
  • Finding Relevant Subspaces in Neural Network Learning

    Avrim Blum, Ravi Kannan

    PDF
  • The Value of Relevance

    Robert Korsan

    PDF
  • Characterization of Relevance and Irrelevance in Empirical Learning Methods Based on Rough Sets and Matroid Theory

    Shusaku Tsumoto, Hiroshi Tanaka

    PDF
  • Information Loss Versus Information Degradation

    Ken Gemes

    PDF
  • Dynamic-Bias Induction

    Daniel Oblinger, Gerald DeJong

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  • Relevant Examples and Relevant Features–Thoughts from Computational Learning Theory

    Avrim Blum

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  • How a Bayesian Approaches Games Like Chess

    Eric Baum

    PDF
  • Discussion of “Exploiting the Absence of Irrelevant Information: What You Don’t Know Can Help You”

    Lisa Hellerstein

    PDF
  • Relevance in Textual Retrieval

    Don Graft, Carol Barry

    PDF

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