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Journals in DBLP

Machine Learning
2005, volume: 60, number: 1-3

  1. Pascale Fung, Dan Roth
    Guest Editors Introduction: Machine Learning in Speech and Language Technologies. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:60, n:1-3, pp:5-9 [Journal]
  2. Sameer Pradhan, Kadri Hacioglu, Valerie Krugler, Wayne Ward, James H. Martin, Daniel Jurafsky
    Support Vector Learning for Semantic Argument Classification. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:60, n:1-3, pp:11-39 [Journal]
  3. Xavier Carreras, Lluís Màrquez, C. Jorge Castro
    Filtering-Ranking Perceptron Learning for Partial Parsing. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:60, n:1-3, pp:41-71 [Journal]
  4. Libin Shen, Aravind K. Joshi
    Ranking and Reranking with Perceptron. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:60, n:1-3, pp:73-96 [Journal]
  5. Hiyan Alshawi
    Online Multiclass Learning with k-Way Limited Feedback and an Application to Utterance Classification. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:60, n:1-3, pp:97-115 [Journal]
  6. Corinna Cortes, Mehryar Mohri
    Moment Kernels for Regular Distributions. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:60, n:1-3, pp:117-134 [Journal]
  7. Ismael García-Varea, Francisco Casacuberta
    Maximum Entropy Modeling: A Suitable Framework to Learn Context-Dependent Lexicon Models for Statistical Machine Translation. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:60, n:1-3, pp:135-158 [Journal]
  8. Jun'ichi Kazama, Jun-ichi Tsujii
    Maximum Entropy Models with Inequality Constraints: A Case Study on Text Categorization. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:60, n:1-3, pp:159-194 [Journal]
  9. Ahmad Emami, Frederick Jelinek
    A Neural Syntactic Language Model. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:60, n:1-3, pp:195-227 [Journal]
  10. Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao
    Combining Statistical Language Models via the Latent Maximum Entropy Principle. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:60, n:1-3, pp:229-250 [Journal]
  11. Peter D. Turney, Michael L. Littman
    Corpus-based Learning of Analogies and Semantic Relations. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:60, n:1-3, pp:251-278 [Journal]
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