5075 search results - page 319 / 1015 » Convergence |
159
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
We apply Stochastic Meta-Descent (SMD), a stochastic gradient optimization method with gain vector adaptation, to the training of Conditional Random Fields (CRFs). On several larg...
144
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We present a new method to estimate the intrinsic dimensionality of a submanifold M in Rd from random samples. The method is based on the convergence rates of a certain U-statisti...
164
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Motivated by the interest in relational reinforcement learning, we introduce a novel relational Bellman update operator called ReBel. It employs a constraint logic programming lan...
182
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ICML
1996
IEEE
16 years 7 months ago
1996
IEEE
Research in reinforcementlearning (RL)has thus far concentrated on two optimality criteria: the discounted framework, which has been very well-studied, and the averagereward frame...
203
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ARITH
2009
IEEE
16 years 1 months ago
2009
IEEE
The Bessel functions are considered relatively difficult to compute. Although they have a simple power series expansion that is everywhere convergent, they exhibit approximately ...