993 search results - page 100 / 199 » Learning RoboCup-Keepaway with Kernels |
169
click to vote
ICML
2007
IEEE
16 years 6 months ago
2007
IEEE
We1 present a new actor-critic learning model in which a Bayesian class of non-parametric critics, using Gaussian process temporal difference learning is used. Such critics model ...
166
click to vote
ICML
2004
IEEE
16 years 6 months ago
2004
IEEE
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a nove...
181
click to vote
ALT
2006
Springer
16 years 2 months ago
2006
Springer
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
171
click to vote
NIPS
2001
15 years 7 months ago
2001
The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...
166
click to vote
IJCNN
2006
IEEE
15 years 12 months ago
2006
IEEE
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...