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Text categorization with support vector machines: Learning withmany relevant features

Text categorization with support vector machines: Learning withmany relevant features,10.1007/BFb0026683,Thorsten Joachims

Text categorization with support vector machines: Learning withmany relevant features   (Citations: 2357)
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    • ...It attempts to construct an optimal separating hyperplane by transforming a nonlinear object into a high dimension feature space and thus gives a good generalization performance on a wide range of problems, such as text categorization [21], pattern recognition [35] and bioinformatics [44]...

    Pankaj Guptaet al. Asset portfolio optimization using support vector machines and real-co...

    • ...chord appearances from the related field of automatic chord labelling—in which numbers of occurring chords in a piece are listed—seem to be a promising attempt to improve our algorithm's efficiency (Joachims, 1998)...

    Björn Schulleret al. Music Theoretic and Perception-based Features for Audio Key Determinat...

    • ...Since the works of Joachims [15], [16], researchers have successfully applied SVM to many related tasks and presented some convincing results [5], [6], [27], [39], [55]...

    Ning Zhonget al. Effective Pattern Discovery for Text Mining

    • ...As a first pass at classifying the BioCreative II.5 data, we created a baseline classifier system using no preprocessing methods, space- and punctuation-based tokenization, binary modeling of the feature vectors, and a linear Support Vector Machine classifier, using Joachim’s SVMLight software [11]...
    • ...These feature vectors were then used as input to one of several classification algorithms we considered for this task, including libSVM [12], svmlight [11], k-nearest neighbors, and decision trees...

    Kyle H. Ambertet al. k-Information Gain Scaled Nearest Neighbors: A Novel Approach to Class...

    • ...OMPRESSION distances are currently a hot topic of research in several areas such as data mining [1], questionanswering systems [2], [3], plagiarism detection [4], bioinformatics [5], [6], [7], [8], [9], philology [10], neural networks [11], prediction [12], software metrics [13], [14], [15], clustering [16], [17], [18], information retrieval [19], and text categorization [20], [21]...

    Ana Granadoset al. Reducing the Loss of Information through Annealing Text Distortion

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