Sciweavers

354 search results - page 32 / 71
» Top-k learning to rank: labeling, ranking and evaluation
Sort
View
SIGIR
2009
ACM
15 years 4 months ago
Combining LVCSR and vocabulary-independent ranked utterance retrieval for robust speech search
Well tuned Large-Vocabulary Continuous Speech Recognition (LVCSR) has been shown to generally be more effective than vocabulary-independent techniques for ranked retrieval of spo...
J. Scott Olsson, Douglas W. Oard
ICDE
2009
IEEE
251views Database» more  ICDE 2009»
15 years 11 months ago
Contextual Ranking of Keywords Using Click Data
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...
Utku Irmak, Vadim von Brzeski, Reiner Kraft
ICCV
2007
IEEE
15 years 11 months ago
Learning Auto-Structured Regressor from Uncertain Nonnegative Labels
In this paper, we take the human age and pose estimation problems as examples to study automatic designing regressor from training samples with uncertain nonnegative labels. First...
Shuicheng Yan, Huan Wang, Xiaoou Tang, Thomas S. H...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 4 days ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
ERCIMDL
2005
Springer
104views Education» more  ERCIMDL 2005»
15 years 3 months ago
Evaluation of the NSDL and Google for Obtaining Pedagogical Resources
We describe an experiment that measures the pedagogical usefulness of the results returned by the National Science Digital Library (NSDL) and Google. Eleven public school teachers ...
Frank McCown, Johan Bollen, Michael L. Nelson