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195
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EMNLP
2007
15 years 8 months ago
Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
This paper proposes a framework for semi-supervised structured output learning (SOL), specifically for sequence labeling, based on a hybrid generative and discriminative approach...
Jun Suzuki, Akinori Fujino, Hideki Isozaki
192
Voted
ICML
2010
IEEE
15 years 8 months ago
Hilbert Space Embeddings of Hidden Markov Models
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
169
Voted
CN
2004
98views more  CN 2004»
15 years 6 months ago
Considering spurious timeout in proxy for improving TCP performance in wireless networks
In this paper, we introduce a new proxy that effectively prevents unnecessary retransmissions of Transmission Control Protocol data segments from flowing over a wireless link on a...
Yu-Chul Kim, Dong-Ho Cho
207
Voted
VIS
2004
IEEE
164views Visualization» more  VIS 2004»
16 years 8 months ago
Real-Time Motion Estimation and Visualization on Graphics Cards
We present a tool for real-time visualization of motion features in 2D image sequences. The motion is estimated through an eigenvector analysis of the spatiotemporal structure ten...
Christoph S. Garbe, Robert Strzodka
187
Voted
RECOMB
2006
Springer
16 years 7 months ago
New Methods for Detecting Lineage-Specific Selection
Abstract. So far, most methods for identifying sequences under selection based on comparative sequence data have either assumed selectional pressures are the same across all branch...
Adam C. Siepel, Katherine S. Pollard, David Haussl...