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GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
14 years 1 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
JMLR
2008
131views more  JMLR 2008»
13 years 9 months ago
On Relevant Dimensions in Kernel Feature Spaces
We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert M...
ATAL
2005
Springer
14 years 3 months ago
Multi-agent reward analysis for learning in noisy domains
In many multi agent learning problems, it is difficult to determine, a priori, the agent reward structure that will lead to good performance. This problem is particularly pronoun...
Adrian K. Agogino, Kagan Tumer
IJCV
2010
158views more  IJCV 2010»
13 years 8 months ago
Metric Learning for Image Alignment
Abstract Image alignment has been a long standing problem in computer vision. Parameterized Appearance Models (PAMs) such as the Lucas-Kanade method, Eigentracking, and Active Appe...
Minh Hoai Nguyen, Fernando De la Torre
LREC
2010
246views Education» more  LREC 2010»
13 years 11 months ago
GermanPolarityClues: A Lexical Resource for German Sentiment Analysis
In this paper, we propose GermanPolarityClues, a new publicly available lexical resource for sentiment analysis for the German language. While sentiment analysis and polarity clas...
Ulli Waltinger