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» Optimal Monte Carlo Algorithms
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FLAIRS
1998
13 years 9 months ago
Lazy Transformation-Based Learning
Weintroduce a significant improvementfor a relatively newmachine learning methodcalled Transformation-Based Learning. By applying a MonteCarlo strategy to randomly sample from the...
Ken Samuel
GLOBECOM
2007
IEEE
14 years 2 months ago
Performance Analysis of V-BLAST with Optimum Power Allocation
—Comprehensive performance analysis of the unordered V-BLAST algorithm with various power allocation strategies is presented, which makes use of analytical tools and resorts to M...
Victoria Kostina, Sergey Loyka
CCE
2006
13 years 7 months ago
An efficient algorithm for large scale stochastic nonlinear programming problems
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
Y. Shastri, Urmila M. Diwekar
NIPS
1998
13 years 9 months ago
Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models
We present Monte-Carlo generalized EM equations for learning in nonlinear state space models. The dif
Thomas Briegel, Volker Tresp
CEC
2009
IEEE
14 years 2 months ago
Heterogeneous particle swarm optimizers
— Particle swarm optimization (PSO) is a swarm intelligence technique originally inspired by models of flocking and of social influence that assumed homogeneous individuals. Du...
Marco Antonio Montes de Oca, Jorge Peña, Th...