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137
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NIPS
2007
15 years 6 months ago
Learning with Transformation Invariant Kernels
This paper considers kernels invariant to translation, rotation and dilation. We show that no non-trivial positive definite (p.d.) kernels exist which are radial and dilation inv...
Christian Walder, Olivier Chapelle
125
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NIPS
2007
15 years 6 months ago
Colored Maximum Variance Unfolding
Maximum variance unfolding (MVU) is an effective heuristic for dimensionality reduction. It produces a low-dimensional representation of the data by maximizing the variance of the...
Le Song, Alex J. Smola, Karsten M. Borgwardt, Arth...
CLIMA
2004
15 years 6 months ago
A New HTN Planning Framework for Agents in Dynamic Environments
In a dynamic environment, even if an agent makes a plan to obtain a goal, the environment might change while the agent is executing the plan. In that case, the plan, which was init...
Hisashi Hayashi, Kenta Cho, Akihiko Ohsuga
131
Voted
PUK
2000
15 years 6 months ago
Heuristic Search Planning with BDDs
Abstract. In this paper we study traditional and enhanced BDDbased exploration procedures capable of handling large planning problems. On the one hand, reachability analysis and mo...
Stefan Edelkamp
ANLP
1994
91views more  ANLP 1994»
15 years 6 months ago
Resolving Anaphora in a Portable Natural Language Front End to Databases
An analysis of the evolution of Natural Language front ends in the last three decades shows that the growth in portability brought, as a side effect, the narrowing of the provided...
Flávia A. Barros, Anne N. De Roeck