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    1. Mentioned In 3 Articles

    2. Classification tool

      A classification system that includes a first input module, a marker module, unclassified Lagrange multiplier calculation module, and a classification module. The unclassified vector describes a physical condition. The marker module assigns a marker to the unclassified vector. The marker should place the unclassified vector into one of two classes. The unclassified Lagrange multiplier calculation module calculates a classifying Lagrange multiplier for the unclassified vector using the marker and a ...
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    3. Parsing with a Single Neuron: Convolution Kernels for NaturalLanguage Problems

      Parsing with a Single Neuron: Convolution Kernels for Natural Language Problems Michael Collinsy and Nigel Du yz yAT&T Labs-Research, Florham Park, New Jersey. mcollins@research.att.com zDepartment of Computer Science, University of California at Santa Cruz. nigeduff@cs.ucsc.edu Abstract This paper introduces new train- ing criteria and algorithms for NLP problems, based on the Support Vec- tor Machine (SVM) approach to classi cation problems. SVMs can ...
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    4. The Role of Occam's Razor in Knowledge Discovery

      c , , 1–19 () Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. The Role of Occam’s Razor in Knowledge Discovery PEDRO DOMINGOS pedrod@cs.washington.edu Department of Computer Science and Engineering University of Washington Seattle, WA 98195 Abstract. Many KDD systems incorporate an implicit or explicit preference for simpler models, but this use of “Occam’s razor” has been strongly criticized by several authors (e.g., Schaffer, 1993; Webb ...
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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD