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» Adapting SME Learning Environments for Adaptivity
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125
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ICASSP
2010
IEEE
15 years 3 months ago
Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...
Michael L. Seltzer, Alex Acero, Kaustubh Kalgaonka...
122
Voted
ATAL
2006
Springer
15 years 7 months ago
Rule value reinforcement learning for cognitive agents
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
Christopher Child, Kostas Stathis
ECCV
2004
Springer
16 years 5 months ago
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
ERCIMDL
2009
Springer
103views Education» more  ERCIMDL 2009»
15 years 10 months ago
Functional Adaptivity for Digital Library Services in e-Infrastructures: The gCube Approach
We consider the problem of e-Infrastructures that wish to reconcile the generality of their services with the bespoke requirements of diverse user communities. We motivate the requ...
Fabio Simeoni, Leonardo Candela, David Lievens, Pa...
119
Voted
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
15 years 9 months ago
Adaptive genetic programming for option pricing
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
Zheng Yin, Anthony Brabazon, Conall O'Sullivan