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» Using Decision Trees to Construct a Practical Parser
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PAKDD
1998
ACM
158views Data Mining» more  PAKDD 1998»
13 years 11 months ago
Data Mining Using Dynamically Constructed Recurrent Fuzzy Neural Networks
Abstract. Approaches to data mining proposed so far are mainly symbolic decision trees and numerical feedforward neural networks methods. While decision trees give, in many cases, ...
Yakov Frayman, Lipo Wang
COLT
2003
Springer
14 years 21 days 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
IJCAI
1993
13 years 8 months ago
Induction of Oblique Decision Trees
This article describes a new system for induction of oblique decision trees. This system, OC1, combines deterministic hill-climbing with two forms of randomization to nd a good ob...
David G. Heath, Simon Kasif, Steven Salzberg
ACL
1990
13 years 8 months ago
Deterministic Left to Right Parsing of Tree Adjoining Languages
We define a set of deterministic bottom-up left to right parsers which analyze a subset of Tree Adjoining Languages. The LR parsing strategy for Context Free Grammars is extended ...
Yves Schabes, K. Vijay-Shanker
CONCUR
2006
Springer
13 years 9 months ago
Inference of Event-Recording Automata Using Timed Decision Trees
In regular inference, the problem is to infer a regular language, typically represented by a deterministic finite automaton (DFA) from answers to a finite set of membership querie...
Olga Grinchtein, Bengt Jonsson, Paul Pettersson