Beyond the point cloud: from transductive to semi-supervised learning (2005)

Cached

Download Links

by Vikas Sindhwani , Partha Niyogi
Venue:In ICML
Citations:112 - 11 self

Active Bibliography

2 Combining Labeled and Unlabeled Data in Statistical Natural Language Parsing – Anoop Sarkar, Mike Collins, Adwait Ratnaparkhi, Mark Dras, David Chiang, Dan Bikel, Tom Morton, Anoop Sarkar - 2002
3 Probabilistic Model-Based Clustering of Complex Data – Shi Zhong - 2003
Semi-Supervised Clustering: Learning . . . – Sugato Basu - 2003
1 Model-based clustering with soft balancing – Shi Zhong - 2003
XML Document Classification with Co-training – Xiaobing Jemma Wu
1 GRAPH BASED IMAGE SEGMENTATION – Jingdong Wang - 2007
Topic Model Methods for Automatically Identifying Out-of-Scope Resources ABSTRACT – Steven Bethard, James H. Martin, Soumya Ghosh, Tamara Sumner
Certified by............................................................................... – Stephanie Gil, Brian Williams, Prof David, L. Darmofal - 2008
5 Semisupervised Learning Of Classifiers With Application To Human-Computer Interaction – Ira Cohen - 2003
8 An Augmented PAC Model for SemiSupervised Learning – Maria-florina Balcan, Avrim Blum - 2005
3 New Theoretical Frameworks for Machine Learning – Maria-florina Balcan, Manuel Blum, Yishay Mansour, Tom Mitchell, Santosh Vempala - 2007
2 Scalable Clustering Algorithms – Arindam Banerjee, Joydeep Ghosh Supervisor, Adnan Aziz, Ross Baldick, Inderjit Dhillon, Gustavo De Veciana - 2005
5 Semi-Supervised Training of Models for Appearance-Based Statistical Object Detection Methods – Charles Joseph Rosenberg, Henry Schneiderman, Avrim Blum - 2004
5 Semi-supervised sequence classification with HMMs – Shi Zhong - 2005
Network Service Disruption upon Natural Disaster: Inference Using Sensory Measurements and Human Inputs – Supaporn Erjongmanee, Chuanyi Ji
17 Semi-Supervised Learning of Mixture Models and Bayesian Networks – Fabio Gagliardi Cozman, Ira Cohen, Marcelo C├ęsar Cirelo - 2003
6 A Note on Semi-Supervised Learning using Markov Random Fields – Wei Li, Andrew Mccallum - 2004
Building Maximum Entropy . . . – Zhang Xinhua
Semi-supervised Learning of Naive Bayes Classifier with – N Agesh Bhat Tu