4555 search results - page 330 / 911 » Deductive Algorithmic Knowledge |
224
Voted
VLDB
2006
ACM
16 years 3 months ago
2006
ACM
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
129
Voted
ALT
2008
Springer
16 years 19 days ago
2008
Springer
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
162
Voted
ICPR
2010
IEEE
15 years 10 months ago
2010
IEEE
In this paper, we present a method that recognizes single or multiple common actions between a pair of video sequences. We establish an energy function that evaluates geometric and...
114
Voted
HYBRID
2009
Springer
15 years 10 months ago
2009
Springer
To reduce the amount of data transfer in networked control systems and wireless sensor networks, measurements are usually taken only when an event occurs, rather than at each synch...
109
Voted
GLOBECOM
2009
IEEE
15 years 10 months ago
2009
IEEE
—The Multicanonical Monte Carlo (MMC) technique is a new form of adaptive importance sampling (IS). Thanks to its blind adaptation algorithm, it does not require an in-depth syst...