Sciweavers

292 search results - page 12 / 59
» Predicting labels for dyadic data
Sort
View
PKDD
2010
Springer
128views Data Mining» more  PKDD 2010»
13 years 8 months ago
Learning to Tag from Open Vocabulary Labels
Most approaches to classifying media content assume a fixed, closed vocabulary of labels. In contrast, we advocate machine learning approaches which take advantage of the millions...
Edith Law, Burr Settles, Tom M. Mitchell
ICML
2010
IEEE
13 years 11 months ago
Large Scale Max-Margin Multi-Label Classification with Priors
We propose a max-margin formulation for the multi-label classification problem where the goal is to tag a data point with a set of pre-specified labels. Given a set of L labels, a...
Bharath Hariharan, Lihi Zelnik-Manor, S. V. N. Vis...
BMCBI
2007
163views more  BMCBI 2007»
13 years 10 months ago
Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA - a Bayesian approac
Background: Microarrays are widely used for the study of gene expression; however deciding on whether observed differences in expression are significant remains a challenge. Resul...
Carmen Pin, Mark Reuter
ICML
2004
IEEE
14 years 3 months ago
Online learning of conditionally I.I.D. data
In this work we consider the task of relaxing the i.i.d assumption in online pattern recognition (or classification), aiming to make existing learning algorithms applicable to a ...
Daniil Ryabko
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
14 years 4 months ago
A Generalization of Forward-Backward Algorithm
Structured prediction has become very important in recent years. A simple but notable class of structured prediction is one for sequences, so-called sequential labeling. For sequen...
Ai Azuma, Yuji Matsumoto