Proceedings of the Fifth International Workshop on Machine Learning
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John E. Laird
Proceedings of the Fifth International Workshop on Machine Learning
ML, 1988.

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@proceedings{ML-1988,
	address       = "Ann Arbor, Michigan, USA",
	editor        = "John E. Laird",
	isbn          = "0-934613-64-8",
	publisher     = "{Morgan Kaufmann}",
	title         = "{Proceedings of the Fifth International Workshop on Machine Learning}",
	year          = 1988,
}

Contents (49 items)

ML-1988-Kerber #using
Using a Generalization Hierarchy to Learn from Examples (RK), pp. 1–7.
ML-1988-Tallis #rule-based
Tuning Rule-Based Systems to Their Environments (HT), pp. 8–14.
ML-1988-KrawchukW #on the
On Asking the Right Questions (BJK, IHW), pp. 15–21.
ML-1988-FisherS #concept #predict
Concept Simplification and Prediction Accuracy (DHF, JCS), pp. 22–28.
ML-1988-Segen #graph #learning #modelling
Learning Graph Models of Shape (JS), pp. 29–35.
ML-1988-Spackman #category theory #learning
Learning Categorical Decision Criteria in Biomedical Domains (KAS), pp. 36–46.
ML-1988-Segen88a #concept
Conceptual Clumping of Binary Vectors with Occam’s Razor (JS), pp. 47–53.
ML-1988-CheesemanKSSTF #classification #named
AutoClass: A Bayesian Classification System (PC, JK, MS, JS, WT, DF), pp. 54–64.
ML-1988-Gross #concept #incremental #learning #multi #using
Incremental Multiple Concept Learning Using Experiments (KPG), pp. 65–72.
ML-1988-IbaWL #concept #incremental #learning
Trading Off Simplicity and Coverage in Incremental concept Learning (WI, JW, PL), pp. 73–79.
ML-1988-Lebowitz
Deferred Commitment in UNIMEM: Waiting to Learn (ML), pp. 80–86.
ML-1988-WirthC #cost analysis
Experiments on the Costs and Benefits of Windowing in ID3 (JW, JC), pp. 87–99.
ML-1988-ChengFIQ
Improved Decision Trees: A Generalized Version of ID3 (JC, UMF, KBI, ZQ), pp. 100–106.
ML-1988-Utgoff #incremental #named
ID5: An Incremental ID3 (PEU), pp. 107–120.
ML-1988-TanE #classification #network #using
Using Weighted Networks to Represent Classification Knowledge in Noisy Domains (MT, LJE), pp. 121–134.
ML-1988-Quinlan #classification #comparison #empirical #search-based
An Empirical Comparison of Genetic and Decision-Tree Classifiers (JRQ), pp. 135–141.
ML-1988-Robertson #classification
Population Size in classifier Systems (GGR), pp. 142–152.
ML-1988-CaruanaS #algorithm #bias #representation #search-based
Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms (RC, JDS), pp. 153–161.
ML-1988-DavisY #classification
Classifier Systems with Hamming Weights (LD, DKY), pp. 162–173.
ML-1988-SannierG #adaptation #approach #distributed #named #search-based
Midgard: A Genetic Approach to Adaptive Load Balancing for Distributed Systems (AVSI, EDG), pp. 174–180.
ML-1988-WisniewskiA #induction #learning
Some Interesting Properties of a Connectionist Inductive Learning System (EJW, JAA), pp. 181–187.
ML-1988-Lynne #learning
Competitive Reinforcement Learning (KJL), pp. 188–199.
ML-1988-Tesauro #learning
Connectionist Learning of Expert Backgammon Evaluations (GT), pp. 200–206.
ML-1988-Mel #modelling #using
Building and Using Mental Models in a Sensory-Motor Domain (BWM), pp. 207–213.
ML-1988-Hirsh #learning #reasoning
Reasoning about Operationality for Explanation-Based Learning (HH), pp. 214–220.
ML-1988-BravermanR #bound
Boundaries of Operationality (MSB, SJR), pp. 221–234.
ML-1988-MahadevanT #learning #on the
On the Tractability of Learning from Incomplete Theories (SM, PT), pp. 235–241.
ML-1988-RajamoneyD #approach #multi #problem #reduction
Active Explanation Reduction: An Approach to the Multiple Explanations Problem (SAR, GD), pp. 242–255.
ML-1988-Cohen #learning #multi
Generalizing Number and Learning from Multiple Examples in Explanation Based Learning (WWC), pp. 256–269.
ML-1988-Mooney #order
Generalizing the Order of Operators in Macro-Operators (RJM), pp. 270–283.
ML-1988-JongS #game studies #learning #using
Using Experience-Based Learning in Game Playing (KADJ, ACS), pp. 284–290.
ML-1988-Pazzani #learning
Integrated Learning with Incorrect and Incomplete Theories (MJP), pp. 291–297.
ML-1988-Carpineto #approach #generative #learning
An Approach Based on Integrated Learning to Generating Stories (CC), pp. 298–304.
ML-1988-BergadanoG #approach #concept #induction
A Knowledge Intensive Approach to Concept Induction (FB, AG), pp. 305–317.
ML-1988-Williams #learning
Learning to Program by Examining and Modifying Cases (RSW), pp. 318–324.
ML-1988-Kelly
Theory Discovery and the Hypothesis Language (KTK), pp. 325–338.
ML-1988-MuggletonB #first-order
Machine Invention of First Order Predicates by Inverting Resolution (SM, WLB), pp. 339–352.
ML-1988-FalkenhainerR
The Interdependencies of Theory Formation, Revision, and Experimentation (BF, SAR), pp. 353–366.
ML-1988-RoseL #approach
A Hill-Climbing Approach to Machine Discovery (DR, PL), pp. 367–373.
ML-1988-Wu #named #reduction
Reduction: A Practical Mechanism of Searching for Regularity in Data (YHW), pp. 374–380.
ML-1988-Amsterdam #learning
Extending the Valiant Learning Model (JA), pp. 381–394.
ML-1988-Helft #first-order #learning
Learning Systems of First-Order Rules (NH), pp. 395–401.
ML-1988-NatarajanT #framework #learning
Two New Frameworks for Learning (BKN, PT), pp. 402–415.
ML-1988-Etzioni #approach #learning #reliability
Hypothesis Filtering: A Practical Approach to Reliable Learning (OE), pp. 416–429.
ML-1988-Kadie #learning #named
Diffy-S: Learning Robot Operator Schemata from Examples (CMK), pp. 430–436.
ML-1988-Sammut #algorithm #evaluation
Experimental Results from an Evaluation of Algorithms that Learn to Control Dynamic Systems (CS), pp. 437–443.
ML-1988-EricksonZ #experience
Utilizing Experience for Improving the Tactical Manager (MDE, JMZ), pp. 444–450.
ML-1988-TambeN
Some Chunks Are Expensive (MT, AN), pp. 451–458.
ML-1988-MarkovitchS #learning
The Role of Forgetting in Learning (SM, PDS), pp. 459–465.

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