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» Learning with Idealized Kernels
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PDC
2004
ACM
14 years 3 months ago
The promise and perils of a participatory approach to developing an open source community learning network
This paper describes and analyses the early developmental stages of a community learning network based in an urban community and social service agency. With government funding, th...
Robert Luke, Andrew Clement, Randall Terada, Domin...
UAI
2001
13 years 11 months ago
Aggregating Learned Probabilistic Beliefs
We consider the task of aggregating beliefs of several experts. We assume that these beliefs are represented as probability distributions. We argue that the evaluation of any aggr...
Pedrito Maynard-Reid II, Urszula Chajewska
IEEECIT
2006
IEEE
14 years 4 months ago
Adaptive Routing for Sensor Networks using Reinforcement Learning
Efficient and robust routing is central to wireless sensor networks (WSN) that feature energy-constrained nodes, unreliable links, and frequent topology change. While most existi...
Ping Wang, Ting Wang
AAAI
2010
13 years 11 months ago
To Max or Not to Max: Online Learning for Speeding Up Optimal Planning
It is well known that there cannot be a single "best" heuristic for optimal planning in general. One way of overcoming this is by combining admissible heuristics (e.g. b...
Carmel Domshlak, Erez Karpas, Shaul Markovitch
IJCNN
2006
IEEE
14 years 4 months ago
Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
Gavin C. Cawley