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111
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ICML
2006
IEEE
16 years 3 months ago
Sequential update of ADtrees
Ingcreasingly, data-mining algorithms must deal with databases that continuously grow over time. These algorithms must avoid repeatedly scanning their databases. When database att...
Josep Roure, Andrew W. Moore
133
Voted
IJLT
2010
115views more  IJLT 2010»
15 years 1 months ago
Computer supported ubiquitous learning environment for vocabulary learning
: Ubiquitous computing could help the organisation and the mediation of social interactions wherever and whenever these situations might occur. Using those technologies enables the...
Hiroaki Ogata, Chengjiu Yin, Moushir M. El-Bishout...
129
Voted
NAACL
2001
15 years 4 months ago
Learning Optimal Dialogue Management Rules by Using Reinforcement Learning and Inductive Logic Programming
Developing dialogue systems is a complex process. In particular, designing efficient dialogue management strategies is often difficult as there are no precise guidelines to develo...
Renaud Lecoeuche
141
Voted
ECML
2006
Springer
15 years 6 months ago
Multiple-Instance Learning Via Random Walk
This paper presents a decoupled two stage solution to the multiple-instance learning (MIL) problem. With a constructed affinity matrix to reflect the instance relations, a modified...
Dong Wang, Jianmin Li, Bo Zhang
121
Voted
JMLR
2006
131views more  JMLR 2006»
15 years 2 months ago
Incremental Support Vector Learning: Analysis, Implementation and Applications
Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM ...
Pavel Laskov, Christian Gehl, Stefan Krüger, ...