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» Optimal Sequential Exploration: A Binary Learning Model
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INTERSPEECH
2010
13 years 3 months ago
Binary coding of speech spectrograms using a deep auto-encoder
This paper reports our recent exploration of the layer-by-layer learning strategy for training a multi-layer generative model of patches of speech spectrograms. The top layer of t...
Li Deng, Michael L. Seltzer, Dong Yu, Alex Acero, ...
ICML
2005
IEEE
14 years 9 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
ATAL
2008
Springer
13 years 10 months ago
Sequential decision making with untrustworthy service providers
In this paper, we deal with the sequential decision making problem of agents operating in computational economies, where there is uncertainty regarding the trustworthiness of serv...
W. T. Luke Teacy, Georgios Chalkiadakis, Alex Roge...
MICRO
2007
IEEE
133views Hardware» more  MICRO 2007»
14 years 3 months ago
Revisiting the Sequential Programming Model for Multi-Core
Single-threaded programming is already considered a complicated task. The move to multi-threaded programming only increases the complexity and cost involved in software developmen...
Matthew J. Bridges, Neil Vachharajani, Yun Zhang, ...
KDD
2005
ACM
166views Data Mining» more  KDD 2005»
14 years 9 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li