908 search results - page 29 / 182 » Stochastic Finite Learning |
FOCM
2006
13 years 8 months ago
2006
In this paper, we study an online learning algorithm in Reproducing Kernel Hilbert Spaces (RKHS) and general Hilbert spaces. We present a general form of the stochastic gradient m...
ICML
2006
IEEE
14 years 9 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...
COLING
2000
13 years 10 months ago
2000
The paper illustrates a linguistic knowledge acquisition model making use of data types, innite memory, and an inferential mechanism for inducing new information from known data. ...
ITA
2006
13 years 8 months ago
2006
In this work we study some probabilistic models for the random generation of words over a given alphabet used in the literature in connection with pattern statistics. Our goal is t...
IJMMSC
2010
13 years 3 months ago
2010
For birth and death processes with finite state space consisting of N + 1 points (N 2), we consider stochastic processes induced by conditioning on hitting the right boundary poi...