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    SDM
    2008
    SIAM
    133views Data Mining» more  SDM 2008»
    Semantic Smoothing for Bayesian Text Classification with Small Training Data
    14 years 2 months ago
    Semantic Smoothing for Bayesian Text Classification with Small Training Data
    Download  www.cis.drexel.edu
    Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
    Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
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    SDM
    2008
    SIAM
    119views Data Mining» more  SDM 2008»
    An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks
    14 years 2 months ago
    An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks
    Download  www.cs.umbc.edu
    This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm is designed for distributed inferencing, data compact...
    Kanishka Bhaduri, Hillol Kargupta
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    SDM
    2008
    SIAM
    138views Data Mining» more  SDM 2008»
    Learning Markov Network Structure using Few Independence Tests
    14 years 2 months ago
    Learning Markov Network Structure using Few Independence Tests
    Download  www.cs.cmu.edu
    In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
    Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
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    SDM
    2008
    SIAM
    144views Data Mining» more  SDM 2008»
    Semi-supervised Multi-label Learning by Solving a Sylvester Equation
    14 years 2 months ago
    Semi-supervised Multi-label Learning by Solving a Sylvester Equation
    Download  siam.org
    Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
    Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang
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    SDM
    2008
    SIAM
    165views Data Mining» more  SDM 2008»
    On the Dangers of Cross-Validation. An Experimental Evaluation
    14 years 2 months ago
    On the Dangers of Cross-Validation. An Experimental Evaluation
    Download  people.csail.mit.edu
    Cross validation allows models to be tested using the full training set by means of repeated resampling; thus, maximizing the total number of points used for testing and potential...
    R. Bharat Rao, Glenn Fung
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    SDM
    2008
    SIAM
    144views Data Mining» more  SDM 2008»
    Active Learning with Model Selection in Linear Regression
    14 years 2 months ago
    Active Learning with Model Selection in Linear Regression
    Download  hrstc.org
    Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
    Masashi Sugiyama, Neil Rubens
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    SDM
    2008
    SIAM
    139views Data Mining» more  SDM 2008»
    Proximity Tracking on Time-Evolving Bipartite Graphs
    14 years 2 months ago
    Proximity Tracking on Time-Evolving Bipartite Graphs
    Download  www.cs.cmu.edu
    Given an author-conference network that evolves over time, which are the conferences that a given author is most closely related with, and how do they change over time? Large time...
    Hanghang Tong, Spiros Papadimitriou, Philip S. Yu,...
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    SDM
    2008
    SIAM
    118views Data Mining» more  SDM 2008»
    Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
    14 years 2 months ago
    Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
    Download  www.cc.gatech.edu
    We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
    Ryan Riegel, Alexander Gray, Gordon Richards
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    SDM
    2008
    SIAM
    177views Data Mining» more  SDM 2008»
    Cluster Ensemble Selection
    14 years 2 months ago
    Cluster Ensemble Selection
    Download  web.engr.oregonstate.edu
    This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
    Xiaoli Z. Fern, Wei Lin
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    SDM
    2008
    SIAM
    177views Data Mining» more  SDM 2008»
    Roughly Balanced Bagging for Imbalanced Data
    14 years 2 months ago
    Roughly Balanced Bagging for Imbalanced Data
    Download  siam.org
    Imbalanced class problems appear in many real applications of classification learning. We propose a novel sampling method to improve bagging for data sets with skewed class distri...
    Shohei Hido, Hisashi Kashima
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