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ML
2000
ACM
154views Machine Learning» more  ML 2000»
8 years 6 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb
ML
2000
ACM
144views Machine Learning» more  ML 2000»
8 years 6 months ago
MultiBoosting: A Technique for Combining Boosting and Wagging
MultiBoosting is an extension to the highly successful AdaBoost technique for forming decision committees. MultiBoosting can be viewed as combining AdaBoost with wagging. It is abl...
Geoffrey I. Webb
ML
2000
ACM
133views Machine Learning» more  ML 2000»
8 years 6 months ago
Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms
Satinder P. Singh, Tommi Jaakkola, Michael L. Litt...
ML
2000
ACM
149views Machine Learning» more  ML 2000»
8 years 6 months ago
BoosTexter: A Boosting-based System for Text Categorization
This work focuses on algorithms which learn from examples to perform multiclass text and speech categorization tasks. Our approach is based on a new and improved family of boosting...
Robert E. Schapire, Yoram Singer
ML
2000
ACM
8 years 6 months ago
Markov Processes on Curves
Lawrence K. Saul, Mazin G. Rahim
ML
2000
ACM
8 years 6 months ago
Multistrategy Discovery and Detection of Novice Programmer Errors
Detecting and diagnosing errors in novice behavior is an important student modeling task. In this paper, we describe MEDD, an unsupervised incremental multistrategy system for the ...
Raymund Sison, Masayuki Numao, Masamichi Shimura
ML
2000
ACM
244views Machine Learning» more  ML 2000»
8 years 6 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
ML
2000
ACM
150views Machine Learning» more  ML 2000»
8 years 6 months ago
Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
Filippo Menczer, Richard K. Belew
ML
2000
ACM
103views Machine Learning» more  ML 2000»
8 years 6 months ago
Nonparametric Time Series Prediction Through Adaptive Model Selection
We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
Ron Meir
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