Active Bibliography

Building Maximum Entropy . . . – Zhang Xinhua
3 ON SEMI-SUPERVISED KERNEL METHODS – Vikas Sindhwani
4 Clustering, Dimensionality Reduction, and Side Information – Hiu Chung Law - 2006
3 Machine Learning Paradigms for Speech Recognition: An Overview – Li Deng, Xiao Li - 2013
Learning with single view . . . – Minmin Chen - 2013
Acknowledgments.................................... – John Blitzer, John Cunningham, Tao Ju, Robert Pless, Bill Smart, Minmin Chen, Minmin Chen - 2013
3 New Theoretical Frameworks for Machine Learning – Maria-florina Balcan, Manuel Blum, Yishay Mansour, Tom Mitchell, Santosh Vempala - 2007
Learning with Unlabeled Data – Xu Zenglin
UNSUPERVISED FEATURE LEARNING VIA SPARSE HIERARCHICAL REPRESENTATIONS – Honglak Lee
49 Using Unlabeled Data to Improve Text Classification – Kamal Paul Nigam - 2001
10 Regularized Adaptation: Theory, Algorithms and Applications – Xiao Li - 2007
Techniques for Exploiting Unlabeled Data – Mugizi Robert Rwebangira, Avrim Blum, John Lafferty - 2008
9 A Discriminative Model for Semi-Supervised Learning – Maria-Florina Balcan, Avrim Blum - 2008
191 Analyzing the Effectiveness and Applicability of Co-training – Kamal Nigam, Rayid Ghani - 2000
Large-Scale Machine Learning for Classification and Search – Wei Liu, Wei Liu
28 Semi-supervised regression with co-training style algorithms – Zhi-hua Zhou, Ming Li - 2007
41 Active Learning with Multiple Views – Ion Muslea, Steven Minton, Craig A. Knoblock - 2002
332 Manifold regularization: A geometric framework for learning from labeled and unlabeled examples – Mikhail Belkin, Partha Niyogi, Vikas Sindhwani - 2006
Learning by Combining Native Features with Similarity Functions – Mugizi Robert Rwebangira, Avrim Blum - 2009