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    ICMLA
    2008
    104views Machine Learning» more  ICMLA 2008»
    Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes
    13 years 6 months ago
    Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes
    Download  www.his.se
    When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
    Cecilia Sönströd, Ulf Johansson, Ulf Nor...
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    ICMLA
    2008
    138views Machine Learning» more  ICMLA 2008»
    Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis
    13 years 6 months ago
    Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis
    Download  hal.archives-ouvertes.fr
    Independent Factor Analysis (IFA) is a well known method used to recover independent components from their linear observed mixtures without any knowledge on the mixing process. Su...
    Etienne Côme, Zohra Leila Cherfi, Latifa Ouk...
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    ICMLA
    2008
    147views Machine Learning» more  ICMLA 2008»
    Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data
    13 years 6 months ago
    Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data
    Download  cseweb.ucsd.edu
    In this paper we describe an interdisciplinary collaboration between researchers in machine learning and oceanography. The collaboration was formed to study the problem of open oc...
    Joshua M. Lewis, Pincelli M. Hull, Kilian Q. Weinb...
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    ICMLA
    2008
    206views Machine Learning» more  ICMLA 2008»
    Comparison of Evaluation Metrics in Classification Applications with Imbalanced Datasets
    13 years 6 months ago
    Comparison of Evaluation Metrics in Classification Applications with Imbalanced Datasets
    Download  ipl.ece.ubc.ca
    A new framework is proposed for comparing evaluation metrics in classification applications with imbalanced datasets (i.e., the probability of one class vastly exceeds others). Fo...
    Mehrdad Fatourechi, Rabab K. Ward, Steven G. Mason...
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    ICMLA
    2008
    116views Machine Learning» more  ICMLA 2008»
    Ensemble Machine Methods for DNA Binding
    13 years 6 months ago
    Ensemble Machine Methods for DNA Binding
    Download  math.bu.edu
    We introduce three ensemble machine learning methods for analysis of biological DNA binding by transcription factors (TFs). The goal is to identify both TF target genes and their ...
    Yue Fan, Mark A. Kon, Charles DeLisi
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    ICMLA
    2008
    123views Machine Learning» more  ICMLA 2008»
    On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers
    13 years 6 months ago
    On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers
    Download  people.dsv.su.se
    The test set accuracy for ensembles of classifiers selected based on single measures of accuracy and diversity as well as combinations of such measures is investigated. It is foun...
    Tuve Löfström, Ulf Johansson, Henrik Bos...
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    ICMLA
    2008
    181views Machine Learning» more  ICMLA 2008»
    A Fully Automatic Crossword Generator
    13 years 6 months ago
    A Fully Automatic Crossword Generator
    Download  nautilus.dii.unisi.it
    This paper presents a software system that is able to generate crosswords with no human intervention including definition generation and crossword compilation. In particular, the ...
    Leonardo Rigutini, Michelangelo Diligenti, Marco M...
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    ICMLA
    2008
    130views Machine Learning» more  ICMLA 2008»
    Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous
    13 years 6 months ago
    Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous
    Download  axon.cs.byu.edu
    Using decision trees that split on randomly selected attributes is one way to increase the diversity within an ensemble of decision trees. Another approach increases diversity by ...
    Michael Gashler, Christophe G. Giraud-Carrier, Ton...
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    ICMLA
    2008
    147views Machine Learning» more  ICMLA 2008»
    Regularized Minimum Volume Ellipsoid Metric for Query-Based Learning
    13 years 6 months ago
    Regularized Minimum Volume Ellipsoid Metric for Query-Based Learning
    Download  www.cim.mcgill.ca
    We are interested in learning an adaptive local metric on a lower dimensional manifold for query
    Karim T. Abou-Moustafa, Frank P. Ferrie
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    ICMLA
    2008
    195views Machine Learning» more  ICMLA 2008»
    Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
    13 years 6 months ago
    Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
    Download  www.grappa.univ-lille3.fr
    In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
    Sertan Girgin, Philippe Preux
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