1641 search results - page 57 / 329 » Termination Analysis with Algorithmic Learning |
108
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ICANN
2003
Springer
15 years 8 months ago
2003
Springer
Abstract. This paper proposes a general approach named ExpectationMiniMax (EMM) for clustering analysis without knowing the cluster number. It describes the contrast function of Ex...
149
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ICMLA
2010
15 years 1 months ago
2010
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
142
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NN
2008
Springer
15 years 3 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
130
Voted
IJCAI
2007
15 years 5 months ago
2007
We study the problem of learning large margin halfspaces in various settings using coresets to show that coresets are a widely applicable tool for large margin learning. A large m...
120
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FOCS
2009
IEEE
15 years 1 months ago
2009
IEEE
We give a new model of learning motivated by smoothed analysis (Spielman and Teng, 2001). In this model, we analyze two new algorithms, for PAC-learning DNFs and agnostically learn...