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» Practical Online Active Learning for Classification
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JMLR
2006
125views more  JMLR 2006»
13 years 6 months ago
Spam Filtering Using Statistical Data Compression Models
Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade fi...
Andrej Bratko, Gordon V. Cormack, Bogdan Filipic, ...
CVPR
2006
IEEE
14 years 8 months ago
Applying Ensembles of Multilinear Classifiers in the Frequency Domain
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...
Christian Bauckhage, Thomas Käster, John K. T...
CE
2008
160views more  CE 2008»
13 years 6 months ago
Data mining in course management systems: Moodle case study and tutorial
Educational data mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. This work is a ...
Cristóbal Romero, Sebastián Ventura,...
ICASSP
2011
IEEE
12 years 10 months ago
Nonstationary and temporally correlated source separation using Gaussian process
Blind source separation (BSS) is a process to reconstruct source signals from the mixed signals. The standard BSS methods assume a fixed set of stationary source signals with the ...
Hsin-Lung Hsieh, Jen-Tzung Chien
MM
2003
ACM
118views Multimedia» more  MM 2003»
13 years 12 months ago
PROMISE: peer-to-peer media streaming using CollectCast
We present the design, implementation, and evaluation of PROMISE, a novel peer-to-peer media streaming system encompassing the key functions of peer lookup, peer-based aggregated ...
Mohamed Hefeeda, Ahsan Habib, Boyan Botev, Dongyan...