Semi-supervised Structured Prediction Models

Posted in Science on September 19, 2008


Semi-supervised Structured Prediction Models

Lecture slides:

  • Semi-supervised Structured Prediction Models
  • Binary Classification
  • Label Sequence Learning
  • Natural Language Parsing
  • Structural Learning
  • Semi-supervised Discriminative Learning
  • Overview
  • Cluster Assumption
  • Learning from Multiple Views / Co-learning
  • Hypothesis Space Intersection
  • Co-optimization Problem
  • Semi-supervised Regularized Least Squares Regression
  • Co-regularized Least Squares Regression
  • Semi-parametric Approximation
  • Semi-supervised Methods for Distributed Data
  • Empirical Results
  • Execution Time-part01
  • Overview-part04
  • Semi-supervised Learning for Structured Output Variables
  • CoSVM Optimization Problem
  • Labeled Examples, View v=1,2
  • Unlabeled Examples
  • Biocreative Named Entity Recognition
  • Biocreative Gene/Protein Name Recognition
  • Natural Language Parsing
  • Wall Street Journal / Negra Corpus Natural Language Parsing
  • Execution Time-part02
  • Overview-part05
  • Transductive Support Vector Machines for Structured Variables
  • Unconstraint Support Vector Machines
  • Unconstraint Transductive Support Vector Machines
  • Execution Time-part03
  • Spanish News Wire Named Entity Recognition
  • Spanish News Named Entity Recognition
  • Artificial Sequential Data
  • Overview-part06
  • Supervised Clustering of Data Streams for Email Batch Detection
  • Template Generated Spam Messages
  • Correlation Clustering
  • Problem Setting
  • Large Margin Approach
  • Exploit Data Stream!
  • Sequential Approximation
  • Results for Batch Detection
  • Execution Time-part04
  • Supervised Clustering of Data Streams for Email Batch Detection (P. Haider, U. Brefeld und T. Scheffer, ICML 2007)

Author: Ulf Brefeld, Humboldt Universität Zu Berlin

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