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ICASSP
2011
IEEE
14 years 4 months ago
A sliding-window online fast variational sparse Bayesian learning algorithm
In this work a new online learning algorithm that uses automatic relevance determination (ARD) is proposed for fast adaptive nonlinear filtering. A sequential decision rule for i...
Thomas Buchgraber, Dmitriy Shutin, H. Vincent Poor
COLT
2008
Springer
15 years 2 months ago
Adaptive Aggregation for Reinforcement Learning with Efficient Exploration: Deterministic Domains
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
Andrey Bernstein, Nahum Shimkin
115
Voted
WALTD
2008
109views Education» more  WALTD 2008»
15 years 2 months ago
Inclusive, Adaptive Design for Students with Severe Learning Disabilities
Young adults with severe disabilities and learning difficulties (SLD) have very limited access to appropriate learning resources. Their unique individual needs and requirements pr...
Matt Harrison, Claire Stockton
95
Voted
ALENEX
2008
133views Algorithms» more  ALENEX 2008»
15 years 2 months ago
Comparing Online Learning Algorithms to Stochastic Approaches for the Multi-Period Newsvendor Problem
The multi-period newsvendor problem describes the dilemma of a newspaper salesman--how many paper should he purchase each day to resell, when he doesn't know the demand? We d...
Shawn O'Neil, Amitabh Chaudhary
99
Voted
CAINE
2001
15 years 2 months ago
Towards On-line and Personalized Learning - A Web-Search Engine Utility
Distance learning gives benefits for training organization, which are further enhanced by using new information and communication technology. Computerbased tools provide a solutio...
Sabine Leroy, Hervé Camus, M. Picavet