Sciweavers

2027 search results - page 58 / 406
» Learning and Generalization with the Information Bottleneck
Sort
View
SIGIR
2008
ACM
14 years 9 months ago
Directly optimizing evaluation measures in learning to rank
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma
ANNPR
2008
Springer
14 years 12 months ago
Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
Jean-François Connolly, Eric Granger, Rober...
CIKM
2009
Springer
15 years 4 months ago
Annotating wikipedia articles with semantic tags for structured retrieval
Structured retrieval aims at exploiting the structural information of documents when searching for documents. Structured retrieval makes use of both content and structure of docum...
Saravadee Sae Tan, Tang Enya Kong, Gian Chand Sodh...
ECML
2006
Springer
15 years 1 months ago
Transductive Gaussian Process Regression with Automatic Model Selection
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
Quoc V. Le, Alexander J. Smola, Thomas Gärtne...
ALT
2009
Springer
15 years 6 months ago
Learning from Streams
Abstract. Learning from streams is a process in which a group of learners separately obtain information about the target to be learned, but they can communicate with each other in ...
Sanjay Jain, Frank Stephan, Nan Ye