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» Stochastic MINLP optimization using simplicial approximation
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JMLR
2010
195views more  JMLR 2010»
13 years 7 months ago
Online Learning for Matrix Factorization and Sparse Coding
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
MMS
2000
13 years 8 months ago
Dynamic Quota-Based Admission Control with Sub-Rating in Multimedia Servers
An admission control algorithm for a multimedia server is responsible for determining if a new request can be accepted without violating the Quality of Service (QoS) requirements o...
Sheng-Tzong Cheng, Chi-Ming Chen, Ing-Ray Chen
CEC
2008
IEEE
14 years 3 months ago
Memetic Gradient Search
—This paper reviews the different gradient-based schemes and the sources of gradient, their availability, precision and computational complexity, and explores the benefits of usi...
Boyang Li, Yew-Soon Ong, Minh Nghia Le, Chi Keong ...
PE
2010
Springer
133views Optimization» more  PE 2010»
13 years 7 months ago
Positive Harris recurrence and diffusion scale analysis of a push pull queueing network
We consider a push pull queueing system with two servers and two types of jobs which are processed by the two servers in opposite order, with stochastic generally distributed proc...
Yoni Nazarathy, Gideon Weiss
FOCI
2007
IEEE
14 years 3 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe