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    ICMLA
    2008
    116views Machine Learning» more  ICMLA 2008»
    Ensemble Machine Methods for DNA Binding
    13 years 9 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 9 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 9 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 9 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 9 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 9 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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    ICMLA
    2008
    92views Machine Learning» more  ICMLA 2008»
    Boundary Constrained Manifold Unfolding
    13 years 9 months ago
    Boundary Constrained Manifold Unfolding
    Download  www.aas.net.cn
    Bo Liu, Hongbin Zhang, WenAn Chen
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    ICMLA
    2008
    140views Machine Learning» more  ICMLA 2008»
    Farthest Centroids Divisive Clustering
    13 years 9 months ago
    Farthest Centroids Divisive Clustering
    Download  www-users.cs.umn.edu
    A method is presented to partition a given set of data entries embedded in Euclidean space by recursively bisecting clusters into smaller ones. The initial set is subdivided into ...
    Haw-ren Fang, Yousef Saad
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    ICMLA
    2008
    172views Machine Learning» more  ICMLA 2008»
    Graph-Based Multilevel Dimensionality Reduction with Applications to Eigenfaces and Latent Semantic Indexing
    13 years 9 months ago
    Graph-Based Multilevel Dimensionality Reduction with Applications to Eigenfaces and Latent Semantic Indexing
    Download  www-users.cs.umn.edu
    Dimension reduction techniques have been successfully applied to face recognition and text information retrieval. The process can be time-consuming when the data set is large. Thi...
    Sophia Sakellaridi, Haw-ren Fang, Yousef Saad
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    ICMLA
    2008
    244views Machine Learning» more  ICMLA 2008»
    A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
    13 years 9 months ago
    A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
    Download  www.kyb.tuebingen.mpg.de
    Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
    Silvia Chiappa
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