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» On the Consistency of Ranking Algorithms
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ECIR
2011
Springer
12 years 11 months ago
Weight-Based Boosting Model for Cross-Domain Relevance Ranking Adaptation
Adaptation techniques based on importance weighting were shown effective for RankSVM and RankNet, viz., each training instance is assigned a target weight denoting its importance ...
Peng Cai, Wei Gao, Kam-Fai Wong, Aoying Zhou
JMLR
2010
112views more  JMLR 2010»
13 years 2 months ago
Reduced-Rank Hidden Markov Models
Hsu et al. (2009) recently proposed an efficient, accurate spectral learning algorithm for Hidden Markov Models (HMMs). In this paper we relax their assumptions and prove a tighte...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
SIGIR
2005
ACM
14 years 1 months ago
Exploiting the hierarchical structure for link analysis
Link analysis algorithms have been extensively used in Web information retrieval. However, current link analysis algorithms generally work on a flat link graph, ignoring the hiera...
Gui-Rong Xue, Qiang Yang, Hua-Jun Zeng, Yong Yu, Z...
FGR
2008
IEEE
132views Biometrics» more  FGR 2008»
14 years 2 months ago
Logit-RankBoost with pruning for face recognition
In this paper a novel ranking-based face recognition (FR) scheme is proposed. Compared with classical twoclass (intra/extra person) and multi-class (each person a single class) sc...
Bangpeng Yao, Haizhou Ai, Shihong Lao
AAAI
2011
12 years 7 months ago
Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation
Inspired by “GoogleTM Sets” and Bayesian sets, we consider the problem of retrieving complex objects and relations among them, i.e., ground atoms from a logical concept, given...
Marion Neumann, Babak Ahmadi, Kristian Kersting