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Searching for authors named "Ioannis Tsochantaridis" – sorted by Relevance.

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  • Support Vector Machines for Polycategorical Classification  
  • by Ioannis Tsochantaridis, Thomas Hofmann — 2002 — In ECML ’02: Proceedings of the 13th European Conference on Machine Learning
  • …Polycategorical classification deals with the task of solving multiple interdependent classification problems. The key challenge is to systematically exploit possible dependencies among the labels to improve on the standard approach of solving each classification problem independently.…
  • Cited by 1 (0 self) – Add To MetaCart
  • Multiple Instance Learning with Generalized Support Vector Machines  
  • by Stuart Andrews, Thomas Hofmann, Ioannis Tsochantaridis — 2002
  • …no-Perez 1998; Zhang & Goldman 2002)) have focused on specially tailored machine learning algorithms that do not compare favorably in the limiting case of bags of size 1 (the standard classification setting). A notable exception is (Ramon & Raedt 2000). Generalized Support Vector Machines We propo…
  • Cited by 13 (0 self) – Add To MetaCart
  • Support vector machines for multiple-instance learning  
  • by Stuart Andrews, Ioannis Tsochantaridis, Thomas Hofmann — 2003 — Advances in Neural Information Processing Systems 15
  • …This paper presents two new formulations of multiple-instance learning as a maximum margin problem. The proposed extensions of the Support Vector Machine (SVM) learning approach lead to mixed integer quadratic programs that can be solved heuristically. Our generalization of SVMs makes a state-of-the…
  • Cited by 58 (2 self) – Add To MetaCart
  • Hidden Markov Support Vector Machines  
  • by Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofmann — 2003
  • …This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines and Hidden Markov Models which we call Hidden Markov Support Vector Machine.…
  • Cited by 96 (6 self) – Add To MetaCart
  • Statistical Machine Translation for Query Expansion in Answer Retrieval  
  • by Stefan Riezler, Er Vasserman, Ioannis Tsochantaridis, Vibhu Mittal, Yi Liu
  • …We present an approach to query expansion in answer retrieval that uses Statistical Machine Translation (SMT) techniques to bridge the lexical gap between questions and answers. SMT-based query expansion is done by i) using a full-sentence paraphraser to introduce synonyms in context of the entire q…
  • Cited by 4 (0 self) – Add To MetaCart
  • Large margin methods for structured and interdependent output variables  
  • by Ioannis Tsochantaridis, Google Inc, Thorsten Joachims, Thomas Hofmann, Yasemin Altun, Yoram Singer — 2005 — Journal of Machine Learning Research
  • …Learning general functional dependencies between arbitrary input and output spaces is one of the key challenges in computational intelligence. While recent progress in machine learning has mainly focused on designing flexible and powerful input representations, this paper addresses the complementary…
  • Cited by 73 (6 self) – Add To MetaCart
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