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» Adversarial Sequence Prediction
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129
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JCSS
2007
116views more  JCSS 2007»
15 years 3 months ago
The most probable annotation problem in HMMs and its application to bioinformatics
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...
Brona Brejová, Daniel G. Brown 0001, Tom&aa...
117
Voted
SDM
2009
SIAM
172views Data Mining» more  SDM 2009»
16 years 24 days ago
Travel-Time Prediction Using Gaussian Process Regression: A Trajectory-Based Approach.
This paper is concerned with the task of travel-time prediction for an arbitrary origin-destination pair on a map. Unlike most of the existing studies, which focus only on a parti...
Sei Kato, Tsuyoshi Idé
125
Voted
FGR
2008
IEEE
170views Biometrics» more  FGR 2008»
15 years 10 months ago
Using an adaptive VAR Model for motion prediction in 3D hand tracking
A robust VAR-based (vector autoregressive) model is introduced for motion prediction in 3D hand tracking. This dynamic VAR motion model is learned in an online manner. The kinemat...
Desmond Chik, Jochen Trumpf, Nicol N. Schraudolph
138
Voted
VTC
2006
IEEE
174views Communications» more  VTC 2006»
15 years 9 months ago
ML Detection with Blind Linear Prediction for Differential Space-Time Block Code Systems
Abstract— This paper proposes a maximum likelihood detection (MLD) method for the differential space-time block code (DSTBC) in cooperation with blind linear prediction (BLP) of ...
Seree Wanichpakdeedecha, Kazuhiko Fukawa, Hiroshi ...
132
Voted
PLDI
2003
ACM
15 years 8 months ago
Optimizing indirect branch prediction accuracy in virtual machine interpreters
Interpreters designed for efficiency execute a huge number of indirect branches and can spend more than half of the execution time in indirect branch mispredictions. Branch target...
M. Anton Ertl, David Gregg