Who Cited It

Large Margin Methods for Structured and Interdependent Output Variables

2005 · MPG.PuRe (Max Planck Society) · 1,957 citations · 6 from inside this corpus

Ioannis Tsochantaridis low, Thorsten Joachims, Thomas Hofmann, Yasemin Altün low

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Large Margin Methods for Structured and Interdependent Output Variables (2005)Large Margin Methods for Stru…Statistical Learning Theory (1999)Statistical Learning TheoryConditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data (2001)Conditional Random Fields: Pr…Foundations of statistical natural language processing (1999)Foundations of statistical na…BoosTexter: A Boosting-based System for Text Categorization (2000)BoosTexter: A Boosting-based …Discriminative training methods for hidden Markov models (2002)Discriminative training metho…On the algorithmic implementation of multiclass kernel-based vector machines (2002)On the algorithmic implementa…A Review on Multi-Label Learning Algorithms (2013)A Review on Multi-Label Learn…Training linear SVMs in linear time (2006)Training linear SVMs in linea…Introduction to Semi-Supervised Learning (2009)Introduction to Semi-Supervis…Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly (2018)Zero-Shot Learning—A Comprehe…Kernel methods in machine learning (2008)Kernel methods in machine lea…Correcting Sample Selection Bias by Unlabeled Data (2007)Correcting Sample Selection B…
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What this paper cites, inside the corpus

PaperYearCited
Statistical Learning Theory199926,957
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data200112,994
Foundations of statistical natural language processing19999,997
BoosTexter: A Boosting-based System for Text Categorization20002,200
Discriminative training methods for hidden Markov models20021,895
On the algorithmic implementation of multiclass kernel-based vector machines20021,789

What cites it, inside the corpus

PaperYearCited
A Review on Multi-Label Learning Algorithms20133,375
Training linear SVMs in linear time20061,961
Introduction to Semi-Supervised Learning20091,812
Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly20181,632
Kernel methods in machine learning20081,618
Correcting Sample Selection Bias by Unlabeled Data20071,566

Links

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Topics

Algorithms and Data CompressionComputer Science
Machine Learning and AlgorithmsComputer Science
Handwritten Text Recognition TechniquesComputer Science

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complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports4 author record(s) attached.
  • supports30 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:52+00:00.

sha256 930f5bc64fea8a60…