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WWW
2008
ACM
16 years 2 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 1 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
RECOMB
2005
Springer
16 years 1 months ago
Pairwise Local Alignment of Protein Interaction Networks Guided by Models of Evolution
Abstract. With ever increasing amount of available data on protein-protein interaction (PPI) networks and research revealing that these networks evolve at a modular level, discover...
Mehmet Koyutürk, Ananth Grama, Wojciech Szpan...
STOC
2004
ACM
121views Algorithms» more  STOC 2004»
16 years 1 months ago
Lower bounds for dynamic connectivity
We prove an (lg n) cell-probe lower bound on maintaining connectivity in dynamic graphs, as well as a more general trade-off between updates and queries. Our bound holds even if t...
Mihai Patrascu, Erik D. Demaine
PODS
2003
ACM
132views Database» more  PODS 2003»
16 years 1 months ago
The view selection problem for XML content based routing
We consider the view selection problem for XML content based routing: given a network, in which a stream of XML documents is routed and the routing decisions are taken based on re...
Ashish Kumar Gupta, Dan Suciu, Alon Y. Halevy