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186
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We propose a novel ensemble learning algorithm called Triskel, which has two interesting features. First, Triskel learns an ensemble of classifiers, each biased to have high preci...
184
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We consider online learning where the target concept can change over time. Previous work on expert prediction algorithms has bounded the worst-case performance on any subsequence ...
163
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ICML
2005
IEEE
2005
IEEE
Active learning for sampling in time-series experiments with application to gene expression analysis
16 years 7 months ago
Many time-series experiments seek to estimate some signal as a continuous function of time. In this paper, we address the sampling problem for such experiments: determining which ...
166
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Linear discriminant analysis (LDA) has been an active topic of research during the last century. However, the existing algorithms have several limitations when applied to visual d...
177
Voted
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...