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ECAI
2000
Springer
14 years 2 months ago
Naive Bayes and Exemplar-based Approaches to Word Sense Disambiguation Revisited
Abstract. This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar–basedclassification, on the Word Sens...
Gerard Escudero, Lluís Màrquez, Germ...
ICMAS
2000
13 years 11 months ago
Assessing Usage Patterns to Improve Data Allocation via Auctions
The data allocation problem in incomplete information environments consisting of self-motivated servers responding to users' queries is considered. Periodically, the servers ...
Rina Azoulay-Schwartz, Sarit Kraus
AR
2007
111views more  AR 2007»
13 years 10 months ago
Acquisition of joint attention through natural interaction utilizing motion cues
Joint attention is one of the most important cognitive functions for the emergence of communication not only between humans but also between humans and robots. In the previous wor...
Hidenobu Sumioka, Koh Hosoda, Yuichiro Yoshikawa, ...
ML
2006
ACM
163views Machine Learning» more  ML 2006»
13 years 10 months ago
Extremely randomized trees
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...
Pierre Geurts, Damien Ernst, Louis Wehenkel
AI
1998
Springer
13 years 10 months ago
Worst-Case Analysis of the Perceptron and Exponentiated Update Algorithms
The absolute loss is the absolute difference between the desired and predicted outcome. This paper demonstrates worst-case upper bounds on the absolute loss for the Perceptron le...
Tom Bylander