2615 search results - page 118 / 523 » Predictive Hebbian Learning |
130
click to vote
COLT
1999
Springer
15 years 7 months ago
1999
Springer
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
124
Voted
GECCO
2008
Springer
15 years 4 months ago
2008
Springer
While John Holland has always envisioned learning classifier systems (LCSs) as cognitive systems, most work on LCSs has focused on classification, datamining, and function appro...
128
Voted
ECCV
2010
Springer
15 years 7 months ago
2010
Springer
A fundamental task in artificial intelligence and computer vision is to build machines that can behave like a human in recognizing a broad range of visual concepts. This paper aims...
119
Voted
BMCBI
2006
15 years 3 months ago
2006
Background: Understanding the molecular details of protein-DNA interactions is critical for deciphering the mechanisms of gene regulation. We present a machine learning approach f...
122
Voted
INLG
2010
Springer
15 years 1 months ago
2010
Springer
The problem of Named Entity Generation is expressed as a conditional probability model over a structured domain. By defining a factor-graph model over the mentions of a text, we o...