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JMLR
2006
186views more  JMLR 2006»
13 years 10 months ago
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
Mikhail Belkin, Partha Niyogi, Vikas Sindhwani
ICALT
2007
IEEE
14 years 4 months ago
A Pedagogy-driven Personalization Framework to Support Adaptive Learning Experiences
The creation of personalized learning experiences is considered as a necessity to cope with the overwhelming amount of available learning material. This paper presents a personali...
Polyxeni Arapi, Nektarios Moumoutzis, Manolis Mylo...
SIGIR
2012
ACM
12 years 14 days ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...
ICML
2004
IEEE
14 years 11 months ago
Distribution kernels based on moments of counts
Many applications in text and speech processing require the analysis of distributions of variable-length sequences. We recently introduced a general kernel framework, rational ker...
Corinna Cortes, Mehryar Mohri
ICML
2006
IEEE
14 years 4 months ago
Predictive search distributions
Edwin V. Bonilla, Christopher K. I. Williams, Feli...