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» Completely Lazy Learning
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MLDM
2007
Springer
13 years 11 months ago
Discovering Plausible Explanations of Carcinogenecity in Chemical Compounds
Abstract. The goal of predictive toxicology is the automatic construction of carcinogenecity models. Most common artificial intelligence techniques used to construct these models ...
Eva Armengol
TKDE
2010
168views more  TKDE 2010»
13 years 3 months ago
Completely Lazy Learning
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, San...
ECAI
2000
Springer
13 years 9 months ago
Lazy Propositionalisation for Relational Learning
A number of Inductive Logic Programming (ILP) systems have addressed the problem of learning First Order Logic (FOL) discriminant definitions by first reformulating the FOL lear...
Érick Alphonse, Céline Rouveirol
ENTCS
2008
146views more  ENTCS 2008»
13 years 5 months ago
Complete Laziness: a Natural Semantics
Lazy evaluation (or call-by-need) is widely used and well understood, partly thanks to a clear operational semantics given by Launchbury. However, modern non-strict functional lan...
François-Régis Sinot
ICML
2003
IEEE
14 years 5 months ago
Boosting Lazy Decision Trees
This paper explores the problem of how to construct lazy decision tree ensembles. We present and empirically evaluate a relevancebased boosting-style algorithm that builds a lazy ...
Xiaoli Zhang Fern, Carla E. Brodley