1077 search results - page 26 / 216 » Approximate reduction of dynamic systems |
106
Voted
NIPS
2008
15 years 2 months ago
2008
Conditional Random Sampling (CRS) was originally proposed for efficiently computing pairwise (l2, l1) distances, in static, large-scale, and sparse data. This study modifies the o...
116
Voted
IROS
2007
IEEE
15 years 7 months ago
2007
IEEE
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
121
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NIPS
1998
15 years 2 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
93
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
We develop a new algorithm, based on EM, for learning the Linear Dynamical System model. Called the method of Approximated Second-Order Statistics (ASOS) our approach achieves dra...
77
Voted
HICSS
2009
IEEE
15 years 7 months ago
2009
IEEE
One knowledge discovery problem in the rapid response setting is the cost of learning which patterns are indicative of a threat. This typically involves a detailed follow-through,...