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» Gaussian Processes in Machine Learning
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ICML
2007
IEEE
14 years 11 months ago
Constructing basis functions from directed graphs for value function approximation
Basis functions derived from an undirected graph connecting nearby samples from a Markov decision process (MDP) have proven useful for approximating value functions. The success o...
Jeffrey Johns, Sridhar Mahadevan
ICML
2008
IEEE
14 years 11 months ago
Manifold alignment using Procrustes analysis
In this paper we introduce a novel approach to manifold alignment, based on Procrustes analysis. Our approach differs from "semisupervised alignment" in that it results ...
Chang Wang, Sridhar Mahadevan
ICML
2003
IEEE
14 years 11 months ago
Exploration in Metric State Spaces
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
Sham Kakade, Michael J. Kearns, John Langford
ALT
2007
Springer
14 years 7 months ago
One-Shot Learners Using Negative Counterexamples and Nearest Positive Examples
As some cognitive research suggests, in the process of learning languages, in addition to overt explicit negative evidence, a child often receives covert explicit evidence in form...
Sanjay Jain, Efim B. Kinber
ICALT
2008
IEEE
14 years 5 months ago
From 3D Virtual Museum to 3D Collaborative Virtual Workshop
In recent years, virtual museums have become more widespread and the usage of them for educational purposes has increased. They are used to facilitate educational process in diffe...
Mikhail Fominykh, Ekaterina Prasolova-Førla...