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AAAI
1997
15 years 8 months ago
Model Minimization in Markov Decision Processes
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
Thomas Dean, Robert Givan
ICASSP
2011
IEEE
14 years 10 months ago
Unsupervised determination of efficient Korean LVCSR units using a Bayesian Dirichlet process model
Korean is an agglutinative language that does not have explicit word boundaries. It is also a highly inflective language that exhibits severe coarticulation effects. These charac...
Sakriani Sakti, Andrew M. Finch, Ryosuke Isotani, ...
ISSRE
2006
IEEE
16 years 26 days ago
Queuing Models for Field Defect Resolution Process
This paper explores a novel application of queuing theory to the corrective software maintenance problem to support quantitative balancing between resources and responsiveness. In...
Swapna S. Gokhale, Robert E. Mullen
AIME
2009
Springer
15 years 11 months ago
Prediction of Mechanical Lung Parameters Using Gaussian Process Models
Abstract. Mechanical ventilation can cause severe lung damage by inadequate adjustment of the ventilator. We introduce a Machine Learning approach to predict the pressure-dependent...
Steven Ganzert, Stefan Kramer, Knut Möller, D...
ICSE
2003
IEEE-ACM
16 years 7 months ago
Interaction Modeling as a Binding Thread in the Software Development Process
This paper proposes the use of an interaction modeling language called MoLIC to graphically represent scenarios as an additional resource in software development. MoLIC brings hum...
Maíra Greco de Paula, Simone Diniz Junqueir...