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109
Voted
ECML
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. We introduce a nonparametric model for sensitivity estimation which relies on generating points similar to the prediction point using its k nearest neighbors. Unlike most...
116
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UAI
2003
15 years 3 months ago
2003
Despite its simplicity, the naive Bayes classifier has surprised machine learning researchers by exhibiting good performance on a variety of learning problems. Encouraged by thes...
181
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CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
In this paper we introduce Structured Local Predictors (SLP) – A new formulation that considers the image labelling problem from a structured learning point of view. SLP are loc...
142
Voted
ICPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
117
Voted
FLAIRS
2008
15 years 4 months ago
2008
In the paper, we investigate the use of reinforcement learning in CBR for estimating and managing a legacy case base for playing the game of Tetris. Each case corresponds to a loc...