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ICML
2008
IEEE
16 years 7 months ago
Laplace maximum margin Markov networks
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
Jun Zhu, Eric P. Xing, Bo Zhang
ICML
2005
IEEE
16 years 7 months ago
Q-learning of sequential attention for visual object recognition from informative local descriptors
This work provides a framework for learning sequential attention in real-world visual object recognition, using an architecture of three processing stages. The first stage rejects...
Lucas Paletta, Gerald Fritz, Christin Seifert
SAC
2003
ACM
15 years 11 months ago
Multiclass Text Categorization for Automated Survey Coding
Survey coding is the task of assigning a symbolic code from a predefined set of such codes to the answer given in response to an open-ended question in a questionnaire (aka surve...
Daniela Giorgetti, Fabrizio Sebastiani
ICML
1999
IEEE
15 years 10 months ago
Feature Engineering for Text Classification
Most research in text classification to date has used a “bag of words” representation in which each feature corresponds to a single word. This paper examines some alternative ...
Sam Scott, Stan Matwin
BMCBI
2008
114views more  BMCBI 2008»
15 years 6 months ago
Combining classifiers for improved classification of proteins from sequence or structure
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...