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Pairwise
Results: 251

#	Item
131	Ranking Related Entities for Web Search Queries Changsung Kang, Srinivas Vadrevu, Ruiqiang Zhang, Roelof van Zwol, Lluis Garcia Pueyo, Nicolas Torzec, Jianzhang He, Yi Chang Yahoo! Labs Sunnyvale, CA, USA {ckang,svadrevu Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2011-01-31 01:42:26 Web search query Data model Entity-relationship model Pairwise comparison Ranking Information science Information retrieval Learning to rank
132	IntervalRank — Isotonic Regression with Listwise and Pairwise Constraints ∗ Taesup Moon, Alex Smola , Yi Chang, Zhaohui Zheng Yahoo! Labs Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2009-11-15 16:54:36 Machine learning Operations research Information retrieval Learning to rank Convex optimization Supervised learning Gradient boosting Lagrange multiplier BFGS method Mathematical optimization Mathematics Mathematical analysis
133	Learning to Re-rank Web Search Results with Multiple Pairwise Features Changsung Kang† , Xuanhui Wang† , Jiang Chen‡ , Ciya Liao§ , Yi Chang† , Belle Tseng† , Zhaohui Zheng† † Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2010-11-09 19:32:34 Machine learning Ranking function Discounted cumulative gain Pairwise Google Search Relevance feedback Ranking Information science Information retrieval Learning to rank
134	Pairwise Cross-Domain Factor Model for Heterogeneous Transfer Ranking Bo Long Yahoo! Labs Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2012-05-21 21:32:20 Artificial intelligence Multivariate statistics Learning Supervised learning Manifold alignment Learning to rank Principal component analysis Function Statistics Machine learning Mathematics
135	Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking Jing Bai Fernando Diaz, Yi Chang, Zhaohui Zheng Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2010-07-08 13:54:40 Computational statistics Learning to rank Information retrieval Data mining Decision tree learning Supervised learning Machine learning Artificial intelligence Information science
136	A Latent Variable Pairwise Classification Model of a Clustering Ensemble Vladimir Berikov Sobolev Institute of mathematics, Novosibirsk State University, Russia [removed] http://www.math.nsc.ru Add to Reading List Source URL: www.math.nsc.ru Language: English - Date: 2012-06-19 05:32:58 Data mining Geostatistics Machine learning Mutual information K-means clustering Consensus clustering Statistics Cluster analysis Data analysis
137	Learning Consensus Opinion: Mining Data from a Labeling Game∗ Paul N. Bennett Microsoft Research One Microsoft Way Redmond, WA 98052 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-02-21 01:20:16 Psychometrics Machine learning Internet search engines Pairwise comparison Artificial intelligence Preference Bing ESP game Recommender system Information science Information retrieval Science
138	Pairwise Ranking Aggregation in a Crowdsourced Setting Xi Chen ∗ Carnegie Mellon University Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2012-12-04 20:02:11 Pairwise comparison Psychometrics
139	20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 An index of carcenogenesis using pairwise consistency Burzin Bhavnagri Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-11-19 21:58:53 Mathematical physics Quantum field theory Operator theory Heisenberg group Lie algebra Clifford algebra Hilbert space Spin Symmetric space Physics Quantum mechanics Lie groups
140	Consistency Potentials for Scene Understanding: from Pairwise to Higher-order Stephen Gould, ANU Graphical Models for Scene Understanding: Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2013-12-01 22:51:08 International Conference on Computer Vision Segmentation Graph cut Mathematics Computer science Image processing Combinatorial optimization Minimum cut