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» A theory of learning with similarity functions
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ICAC
2008
IEEE
15 years 8 months ago
Utility-Based Reinforcement Learning for Reactive Grids
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
AI
1998
Springer
15 years 1 months ago
What Robots Can Do: Robot Programs and Effective Achievability
In this paper, we propose a definition of goal achievability: given a basic action theory describing an initial state of the world and some primitive actions available to a robot...
Fangzhen Lin, Hector J. Levesque
CVPR
2012
IEEE
13 years 4 months ago
Pose pooling kernels for sub-category recognition
The ability to normalize pose based on super-category landmarks can significantly improve models of individual categories when training data are limited. Previous methods have co...
Ning Zhang, Ryan Farrell, Trevor Darrell
AI
2008
Springer
15 years 1 months ago
On the notion of concept I
It is well known that classical set theory is not expressive enough to adequately model categorization and prototype theory. Recent work on compositionality and concept determinat...
Michael Freund
SIGIR
2005
ACM
15 years 7 months ago
Orthogonal locality preserving indexing
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...
Deng Cai, Xiaofei He