1062 search results - page 83 / 213 » Sublinear Optimization for Machine Learning |
NECO
2008
13 years 10 months ago
2008
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
ICML
2004
IEEE
14 years 11 months ago
2004
IEEE
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
COLT
2007
Springer
14 years 4 months ago
2007
Springer
We give an algorithm for the on-line learning of permutations. The algorithm maintains its uncertainty about the target permutation as a doubly stochastic weight matrix, and makes...
DIS
2008
Springer
13 years 12 months ago
2008
Springer
Abstract. An important task in many scientific and engineering disciplines is to set up experiments with the goal of finding the best instances (substances, compositions, designs) ...