593 search results - page 3 / 119 » Optimizing Complex Loss Functions in Structured Prediction |
TNN
2010
13 years 2 months ago
2010
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
BMCBI
2008
13 years 7 months ago
2008
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
We propose a new loss function for discriminative learning of Markov random fields, which is an intermediate loss function between the sequential loss and the pointwise loss. We s...
ALT
1999
Springer
13 years 12 months ago
1999
Springer
We are concerned with the problem of sequential prediction using a givenhypothesis class of continuously-manyprediction strategies. An e ectiveperformance measure is the minimax re...
JMLR
2010
13 years 2 months ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...