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IJCAI
1993
15 years 1 months ago
An Inductive Approach to Learning Search Control Rules for Planning
One method for reducing the time required for plan generation is to learn search control rules from experience. Most of the recent work in learning search control knowledge has co...
Christopher Leckie, Ingrid Zukerman
FOCS
2006
IEEE
15 years 6 months ago
Hardness of Learning Halfspaces with Noise
Learning an unknown halfspace (also called a perceptron) from labeled examples is one of the classic problems in machine learning. In the noise-free case, when a halfspace consist...
Venkatesan Guruswami, Prasad Raghavendra
89
Voted
COLT
2003
Springer
15 years 5 months ago
Learning Random Log-Depth Decision Trees under the Uniform Distribution
We consider three natural models of random logarithmic depth decision trees over Boolean variables. We give an efficient algorithm that for each of these models learns all but an ...
Jeffrey C. Jackson, Rocco A. Servedio
117
Voted
BIOADIT
2004
Springer
15 years 6 months ago
A Hardware Implementation of a Network of Functional Spiking Neurons with Hebbian Learning
Abstract. In this paper we present a functional model of a spiking neuron intended for hardware implementation. Some features of biological spiking neuabstracted, while preserving ...
Andres Upegui, Carlos Andrés Peña-Re...
110
Voted
ICAI
2004
15 years 2 months ago
Mixed-Initiative Ontology Learning
This paper presents a mixed-initiative assistant that supports a subject matter expert to extend the ontology of a learning agent, in order to express the subtle distinctions he ma...
Cristina Boicu, Gheorghe Tecuci