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» Predictive Hebbian Learning
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112
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UM
2005
Springer
15 years 9 months ago
Bayesphone: Precomputation of Context-Sensitive Policies for Inquiry and Action in Mobile Devices
Inference and decision making with probabilistic user models may be infeasible on portable devices such as cell phones. We highlight the opportunity for storing and using precomput...
Eric Horvitz, Paul Koch, Raman Sarin, Johnson Apac...
CIS
2004
Springer
15 years 9 months ago
Knowledge Maintenance on Data Streams with Concept Drifting
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
Juggapong Natwichai, Xue Li
149
Voted
ESSMAC
2003
Springer
15 years 8 months ago
Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
Daniel Sbarbaro, Roderick Murray-Smith
COLT
2000
Springer
15 years 7 months ago
Bias-Variance Error Bounds for Temporal Difference Updates
We give the first rigorous upper bounds on the error of temporal difference (td) algorithms for policy evaluation as a function of the amount of experience. These upper bounds pr...
Michael J. Kearns, Satinder P. Singh
119
Voted
EURODAC
1994
IEEE
118views VHDL» more  EURODAC 1994»
15 years 7 months ago
A new knowledge-based design manager assistant for CAD frameworks
In this paper we introduce a new knowledgebased method for planning and managing the VLSI design process, based on prediction and advice, that minimizes search in a wide design sp...
Félix Moreno, Juan M. Meneses