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ACL
2010
15 years 2 months ago
Practical Very Large Scale CRFs
Conditional Random Fields (CRFs) are a widely-used approach for supervised sequence labelling, notably due to their ability to handle large description spaces and to integrate str...
Thomas Lavergne, Olivier Cappé, Franç...
TSP
2010
14 years 11 months ago
Covariance estimation in decomposable Gaussian graphical models
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
Ami Wiesel, Yonina C. Eldar, Alfred O. Hero
123
Voted
ESANN
2006
15 years 6 months ago
EM-algorithm for training of state-space models with application to time series prediction
In this paper, an improvement to the E step of the EM algorithm for nonlinear state-space models is presented. We also propose strategies for model structure selection when the EM-...
Elia Liitiäinen, Nima Reyhani, Amaury Lendass...
151
Voted
WCC
2005
Springer
130views Cryptology» more  WCC 2005»
15 years 10 months ago
On the Design of Codes for DNA Computing
In this paper, we describe a broad class of problems arising in the context of designing codes for DNA computing. We primarily focus on design considerations pertaining to the phen...
Olgica Milenkovic, Navin Kashyap
ICTAI
2005
IEEE
15 years 10 months ago
Prediction of the Stock Exchange of Thailand Using Adaptive Evolution Strategies
In this paper we present a prediction process of the Stock Exchange of Thailand index using adaptive evolution strategies. The prediction process does not require the knowledge of...
Sunisa Rimcharoen, Daricha Sutivong, Prabhas Chong...