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ICML
1994
IEEE
10 years 7 months ago
Combining Top-down and Bottom-up Techniques in Inductive Logic Programming
This paper describes a new methodfor inducing logic programs from examples which attempts to integrate the best aspects of existingILP methodsintoa singlecoherent framework. In pa...
John M. Zelle, Raymond J. Mooney, Joshua B. Konvis...
ICML
1994
IEEE
10 years 7 months ago
A Modular Q-Learning Architecture for Manipulator Task Decomposition
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
Chen K. Tham, Richard W. Prager
ICML
1994
IEEE
10 years 7 months ago
Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms
With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the te...
David B. Skalak
ICML
1994
IEEE
10 years 7 months ago
Learning Without State-Estimation in Partially Observable Markovian Decision Processes
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
ICML
1994
IEEE
10 years 7 months ago
A Conservation Law for Generalization Performance
Conservation of information (COI) popularized by the no free lunch theorem is a great leveler of search algorithms, showing that on average no search outperforms any other. Yet in ...
Cullen Schaffer
ICML
1994
IEEE
10 years 7 months ago
Towards a Better Understanding of Memory-based Reasoning Systems
John Rachlin, Simon Kasif, Steven Salzberg, David ...
ICML
1994
IEEE
10 years 7 months ago
Hierarchical Self-Organization in Genetic programming
This paper presents an approach to automatic discovery of functions in Genetic Programming. The approach is based on discovery of useful building blocks by analyzing the evolution...
Justinian P. Rosca, Dana H. Ballard
ICML
1994
IEEE
10 years 7 months ago
Reducing Misclassification Costs
We explore algorithms for learning classification procedures that attempt to minimize the cost of misclassifying examples. First, we consider inductive learning of classification ...
Michael J. Pazzani, Christopher J. Merz, Patrick M...
ICML
1994
IEEE
10 years 7 months ago
Revision of Production System Rule-Bases
We describe CLIPS-R, a theory revision system for the revision of CLIPS rule-bases. CLIPS-R differs from previous theory revision systems in that it operates on forward chaining p...
Patrick M. Murphy, Michael J. Pazzani
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