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    » On learning algorithm selection for classification
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    ICML
    2009
    IEEE
    186views Machine Learning» more  ICML 2009»
    Regularization and feature selection in least-squares temporal difference learning
    14 years 9 months ago
    Regularization and feature selection in least-squares temporal difference learning
    Download  ai.stanford.edu
    We consider the task of reinforcement learning with linear value function approximation. Temporal difference algorithms, and in particular the Least-Squares Temporal Difference (L...
    J. Zico Kolter, Andrew Y. Ng
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    BIOCOMP
    2007
    161views Bioinformatics» more  BIOCOMP 2007»
    Biomarker Discovery Across Annotated and Unannotated Microarray Datasets Using Semi-Supervised Learning
    13 years 10 months ago
    Biomarker Discovery Across Annotated and Unannotated Microarray Datasets Using Semi-Supervised Learning
    Download  www.biomedcentral.com
    The growing body of DNA microarray data has the potential to advance our understanding of the molecular basis of disease. However annotating microarray datasets with clinically us...
    Cole Harris, Noushin Ghaffari
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    IEEEICCI
    2006
    IEEE
    120views Artificial Intelligence» more  IEEEICCI 2006»
    Using Feature Selection Filtering Methods for Binding Site Predictions
    14 years 2 months ago
    Using Feature Selection Filtering Methods for Binding Site Predictions
    Download  homepages.feis.herts.ac.uk
    Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we applied classification techniques on predictio...
    Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhors...
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    ETRA
    2010
    ACM
    213views Biometrics» more  ETRA 2010»
    Qualitative and quantitative scoring and evaluation of the eye movement classification algorithms
    13 years 10 months ago
    Qualitative and quantitative scoring and evaluation of the eye movement classification algorithms
    Download  www.cs.txstate.edu
    This paper presents a set of qualitative and quantitative scores designed to assess performance of any eye movement classification algorithm. The scores are designed to provide a ...
    Oleg V. Komogortsev, Sampath Jayarathna, Do Hyong ...
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    ACSC
    2005
    IEEE
    133views Theoretical Computer Science» more  ACSC 2005»
    Integer Programming Models and Algorithms for Molecular Classification of Cancer from Microarray Data
    14 years 2 months ago
    Integer Programming Models and Algorithms for Molecular Classification of Cancer from Microarray Data
    Download  crpit.com
    Novel, high-throughput technologies are challenging the core of algorithmic methods available in Computer Science. Microarray technologies give Life Sciences researchers the oppor...
    Regina Berretta, Alexandre Mendes, Pablo Moscato
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