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» Convex Methods for Transduction
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SMC
2007
IEEE
120views Control Systems» more  SMC 2007»
14 years 1 months ago
A data-dependent distance measure for transductive instance-based learning
— We consider learning in a transductive setting using instance-based learning (k-NN) and present a method for constructing a data-dependent distance “metric” using both labe...
Jared Lundell, Dan Ventura
BMCBI
2007
136views more  BMCBI 2007»
13 years 7 months ago
Reduced modeling of signal transduction - a modular approach
Background: Combinatorial complexity is a challenging problem in detailed and mechanistic mathematical modeling of signal transduction. This subject has been discussed intensively...
Markus Koschorreck, Holger Conzelmann, Sybille Ebe...
ICML
2008
IEEE
14 years 8 months ago
Graph transduction via alternating minimization
Graph transduction methods label input data by learning a classification function that is regularized to exhibit smoothness along a graph over labeled and unlabeled samples. In pr...
Jun Wang, Tony Jebara, Shih-Fu Chang
COLING
2008
13 years 9 months ago
Sentence Compression Beyond Word Deletion
In this paper we generalise the sentence compression task. Rather than simply shorten a sentence by deleting words or constituents, as in previous work, we rewrite it using additi...
Trevor Cohn, Mirella Lapata
NIPS
2003
13 years 9 months ago
Learning with Local and Global Consistency
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...
Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal,...