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TCBB
2011
14 years 11 months ago
Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
Sangyoon Oh, Min Su Lee, Byoung-Tak Zhang
IAJIT
2007
104views more  IAJIT 2007»
15 years 4 months ago
A Learning-Classification Based Approach for Word Prediction
: Word prediction is an important NLP problem in which we want to predict the correct word in a given context. Word completion utilities, predictive text entry systems, writing aid...
Hisham Al-Mubaid
ICML
2010
IEEE
15 years 2 months ago
Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains
In the realm of multilabel classification (MLC), it has become an opinio communis that optimal predictive performance can only be achieved by learners that explicitly take label d...
Krzysztof Dembczynski, Weiwei Cheng, Eyke Hül...
LREC
2010
176views Education» more  LREC 2010»
15 years 5 months ago
There's no Data like More Data? Revisiting the Impact of Data Size on a Classification Task
In the paper we investigate the impact of data size on a Word Sense Disambiguation task (WSD). We question the assumption that the knowledge acquisition bottleneck, which is known...
Ines Rehbein, Josef Ruppenhofer
ESANN
2008
15 years 5 months ago
Improvement in Game Agent Control Using State-Action Value Scaling
The aim of this paper is to enhance the performance of a reinforcement learning game agent controller, within a dynamic game environment, through the retention of learned informati...
Leo Galway, Darryl Charles, Michaela M. Black