112 search results - page 12 / 23 » Minimizing and Learning Energy Functions for Side-Chain Pred... |
ICCV
2007
IEEE
14 years 10 months ago
2007
IEEE
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...
WAIM
2009
Springer
14 years 1 months ago
2009
Springer
In the k-nearest neighbor (KNN) classifier, nearest neighbors involve only labeled data. That makes it inappropriate for the data set that includes very few labeled data. In this ...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
STOC
2005
ACM
14 years 8 months ago
2005
ACM
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...