280 search results - page 55 / 56 » Movement Prediction Using Bayesian Learning for Neural Netwo... |
112
Voted
TIT
2002
15 years 1 days ago
2002
Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...
111
Voted
KDD
2009
ACM
16 years 29 days ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
146
click to vote
BMCBI
2011
14 years 7 months ago
2011
Background: Most predictive methods currently available for the identification of protein secretion mechanisms have focused on classically secreted proteins. In fact, only two met...
124
Voted
JAIR
2010
14 years 11 months ago
2010
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
120
Voted
TNN
2010
14 years 7 months ago
2010
Abstract--A set of Artificial Neural Network (ANN) based methods for the design of an effective system of speech recognition of numerals of Assamese language captured under varied ...