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ADC
2010
Springer
214views Database» more  ADC 2010»
14 years 12 months ago
Building a dynamic classifier for large text data collections
Due to the lack of in-built tools to navigate the web, people have to use external solutions to find information. The most popular of these are search engines and web directories....
Pavel Kalinov, Bela Stantic, Abdul Sattar
ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
15 years 11 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana
EDM
2009
175views Data Mining» more  EDM 2009»
15 years 2 months ago
Detecting Symptoms of Low Performance Using Production Rules
E-Learning systems offer students innovative and attractive ways of learning through augmentation or substitution of traditional lectures and exercises with online learning materia...
Javier Bravo Agapito, Alvaro Ortigosa
ICTAI
2006
IEEE
15 years 10 months ago
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
ICML
2005
IEEE
16 years 5 months ago
A brain computer interface with online feedback based on magnetoencephalography
The aim of this paper is to show that machine learning techniques can be used to derive a classifying function for human brain signal data measured by magnetoencephalography (MEG)...
Bernhard Schölkopf, Hubert Preißl, J&uu...