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JMLR
2010
136views more  JMLR 2010»
13 years 4 months ago
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti...
ICML
2006
IEEE
14 years 10 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
IJLT
2010
115views more  IJLT 2010»
13 years 7 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...
NAACL
2001
13 years 10 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
ECML
2006
Springer
14 years 25 days 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