1419 search results - page 151 / 284 » Approximation Methods for Supervised Learning |
117
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INTERSPEECH
2010
14 years 7 months ago
2010
This paper presents a Bayesian approach for Gaussian mixture model (GMM)-based speaker identification. Some approaches evaluate the speaker score of a test speech utterance using ...
80
Voted
IROS
2007
IEEE
15 years 7 months ago
2007
IEEE
: This paper presents a coarse coding technique and an action selection scheme for reinforcement learning (RL) in multi-dimensional and continuous state-action spaces following con...
114
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ICON
2007
IEEE
15 years 7 months ago
2007
IEEE
- In this paper we analyze the performance, utilization, and power estimation of server systems by both adopting the batch service and adjusting the batch size. In addition to redu...
148
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ML
2012
ACM
13 years 8 months ago
2012
ACM
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
93
Voted
CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...