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» The Information Bottleneck EM Algorithm
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ACL
2004
15 years 1 months ago
Chinese Verb Sense Discrimination Using an EM Clustering Model with Rich Linguistic Features
This paper discusses the application of the Expectation-Maximization (EM) clustering algorithm to the task of Chinese verb sense discrimination. The model utilized rich linguistic...
Jinying Chen, Martha Stone Palmer
NIPS
2003
15 years 1 months ago
The IM Algorithm: A Variational Approach to Information Maximization
The maximisation of information transmission over noisy channels is a common, albeit generally computationally difficult problem. We approach the difficulty of computing the mutua...
David Barber, Felix V. Agakov
ICPR
2010
IEEE
14 years 9 months ago
Information Theoretic Expectation Maximization Based Gaussian Mixture Modeling for Speaker Verification
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...
Sheeraz Memon, Margaret Lech, Namunu Chinthaka Mad...
ESA
1998
Springer
162views Algorithms» more  ESA 1998»
15 years 3 months ago
External Memory Algorithms
Abstract. Data sets in large applications are often too massive to t completely inside the computer's internal memory. The resulting input output communication or I O between ...
Jeffrey Scott Vitter
SDM
2008
SIAM
121views Data Mining» more  SDM 2008»
15 years 1 months ago
Integration of Multiple Networks for Robust Label Propagation
Transductive inference on graphs such as label propagation algorithms is receiving a lot of attention. In this paper, we address a label propagation problem on multiple networks a...
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama