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JMLR
2006
186views more  JMLR 2006»
15 years 2 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
15 years 8 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
13 years 4 months 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
16 years 3 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
15 years 8 months ago
Predictive search distributions
Edwin V. Bonilla, Christopher K. I. Williams, Feli...