Information regularization with partially labeled data

Advances in Neural Information Processing Systems

Volumn , Issue , 2003, Pages

  Szummer, Martin ^a   Jaakkola, Tommi ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FINITE COVER; LABELED DATA; MARGINAL DENSITIES; REGULARIZATION APPROACH;

DIFFERENTIAL EQUATIONS;

EID: 84898939676     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Tommi Jaakkola, Marina Meila, and Tony Jebara. Maximum entropy discrimination. Technical Report AITR-1668, Mass. Inst, of Technology AI Lab, 1999. http://www.ai.mit.edu/.
2. Naftali Tishby and Noam Slonim. Data clustering by markovian relaxation and the information bottleneck method. In Advances in Neural Information Processing Systems (NIPS), Volume 13, pages 640-646. MIT Press, 2001.
3. Stephen Roberts, C. Holmes, and D. Denison. Mi ni mum-entropy data partitioning using reversible jump Markov chain Monte Carlo. IEEE Trans. Pattern Analysis and Mach. Intell. (PAM), 23(8):909-914, 2001.
4. Matthias Seeger. Input-dependent regularization of conditional density models. Unpublished. http://www.dai.ed.ac.uk/homes/seeger/, 2001.
5. Thomas Cover and Joy Thomas. Elements of Information Theory. Wiley, 1991.
6. Robert Weinstock. Calculus of Variations. Dover, 1974.