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WWW
2008
ACM
16 years 13 days 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 5 days 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 2 days 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...
98
Voted
STOC
2004
ACM
121views Algorithms» more  STOC 2004»
16 years 2 days 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»
15 years 12 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