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ECML
2006
Springer
13 years 11 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small
ICPR
2010
IEEE
13 years 9 months ago
Compressing Sparse Feature Vectors Using Random Ortho-Projections
In this paper we investigate the usage of random ortho-projections in the compression of sparse feature vectors. The study is carried out by evaluating the compressed features in ...
Esa Rahtu, Mikko Salo, Janne Heikkilä
FLAIRS
2006
13 years 9 months ago
Context-based Term Disambiguation in Biomedical Literature
The huge volumes of unstructured texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information...
Ping Chen, Hisham Al-Mubaid
IJHIS
2006
95views more  IJHIS 2006»
13 years 7 months ago
A hybrid system for concept-based web usage mining
A web site should be easy to browse by visitors. However, sometimes the reality is quite different. Situations like several unrelated topics in a single web page may lead to confus...
Sebastián A. Ríos, Juan D. Vel&aacut...
JUCS
2007
112views more  JUCS 2007»
13 years 7 months ago
Internet Path Behavior Prediction via Data Mining: Conceptual Framework and Case Study
: In this paper we propose an application of data mining methods in the prediction of the availability and performance of Internet paths. We deploy a general decision-making method...
Leszek Borzemski