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» Label Ranking Methods based on the Plackett-Luce Model
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WSDM
2010
ACM
194views Data Mining» more  WSDM 2010»
15 years 9 months ago
Ranking with Query-Dependent Loss for Web Search
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha
WSC
2008
15 years 2 months ago
A new method for bottleneck detection
This paper presents a new method to identify and rank the bottlenecks in a manufacturing system. The proposed method is based on performance related data that are easy to capture,...
Sankar Sengupta, Kanchan Das, Robert P. VanTil
ICDM
2005
IEEE
134views Data Mining» more  ICDM 2005»
15 years 5 months ago
A Preference Model for Structured Supervised Learning Tasks
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
Fabio Aiolli
ECCV
2010
Springer
15 years 5 months ago
Face Liveness Detection from A Single Image with Sparse Low Rank Bilinear Discriminative Model
Spoofing with photograph or video is one of the most common manner to circumvent a face recognition system. In this paper, we present a real-time and non-intrusive method to addre...
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
15 years 5 months ago
Semi-Supervised Mixture of Kernels via LPBoost Methods
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao