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ICML
2009
IEEE
16 years 5 months ago
Large margin training for hidden Markov models with partially observed states
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
Thierry Artières, Trinh Minh Tri Do
ICC
2007
IEEE
124views Communications» more  ICC 2007»
15 years 11 months ago
Optimal Scheduling Policy Determination for High Speed Downlink Packet Access
— In this paper, we present an analytic model and methodology to determine optimal scheduling policy that involves two dimension space allocation: time and code, in High Speed Do...
Hussein Al-Zubaidy, Jerome Talim, Ioannis Lambadar...
STACS
2007
Springer
15 years 10 months ago
Pure Stationary Optimal Strategies in Markov Decision Processes
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. Performances of an MDP are evaluated by a payoff function. The controller of ...
Hugo Gimbert
CCE
2008
15 years 4 months ago
Global optimization of multiscenario mixed integer nonlinear programming models arising in the synthesis of integrated water net
The problem of optimal synthesis of an integrated water system is addressed in this work, where water using processes and water treatment operations are combined into a single net...
Ramkumar Karuppiah, Ignacio E. Grossmann
HEURISTICS
2008
120views more  HEURISTICS 2008»
15 years 4 months ago
A local linear embedding module for evolutionary computation optimization
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...
Fabio Boschetti