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» Learning in Friedberg Numberings
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91
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ICML
2009
IEEE
14 years 10 months ago
Accelerated sampling for the Indian Buffet Process
We often seek to identify co-occurring hidden features in a set of observations. The Indian Buffet Process (IBP) provides a nonparametric prior on the features present in each obs...
Finale Doshi-Velez, Zoubin Ghahramani
MLDM
2010
Springer
14 years 7 months ago
Fast Algorithms for Constant Approximation k-Means Clustering
In this paper we study the k-means clustering problem. It is well-known that the general version of this problem is NP-hard. Numerous approximation algorithms have been proposed fo...
Mingjun Song, Sanguthevar Rajasekaran
113
Voted
MLDM
2010
Springer
14 years 7 months ago
Creating Product Maps with Self-Organizing Maps for Purchase Decision Making
We propose a way of creating product maps with self-organizing maps (SOMs) for purchase decision making. We previously proposed a way of purchase decision support using SOMs and th...
Kazuhiro Kohara, Tetsuya Tsuda
154
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Deep belief nets for natural language call-routing
This paper considers application of Deep Belief Nets (DBNs) to natural language call routing. DBNs have been successfully applied to a number of tasks, including image, audio and ...
Ruhi Sarikaya, Geoffrey E. Hinton, Bhuvana Ramabha...
92
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Discriminative simplification of mixture models
Simplification of mixture models has recently emerged as an important issue in the field of statistical learning. The heavy computational demands of using large order models dro...
Yossi Bar-Yosef, Yuval Bistritz