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IR
2010
14 years 8 months ago
A general approximation framework for direct optimization of information retrieval measures
Recently direct optimization of information retrieval (IR) measures becomes a new trend in learning to rank. Several methods have been proposed and the effectiveness of them has ...
Tao Qin, Tie-Yan Liu, Hang Li
66
Voted
WSC
1997
14 years 11 months ago
An Integrated Framework for Deterministic and Stochastic Optimization
In recent articles we presented a general methodology for finite optimization. The new method, the Nested Partitions (NP) method, combines partitioning, random sampling, a select...
Leyuan Shi, Sigurdur Ólafsson
ICIP
2002
IEEE
15 years 2 months ago
Video skims: taxonomies and an optimal generation framework
This paper presents a new conceptual framework for summarization that considers the relationship between entities, device properties and user information needs. We summarize using...
Hari Sundaram, Shih-Fu Chang
ICPP
2007
IEEE
15 years 4 months ago
COBRA: An Adaptive Runtime Binary Optimization Framework for Multithreaded Applications
This paper presents COBRA (Continuous Binary ReAdaptation), a runtime binary optimization framework, for multithreaded applications. It is currently implemented on Itanium 2 based...
Jinpyo Kim, Wei-Chung Hsu, Pen-Chung Yew
CORR
2006
Springer
68views Education» more  CORR 2006»
14 years 9 months ago
A rigorous proof of the cavity method for counting matchings
In this paper we rigorously prove the validity of the cavity method for the problem of counting the number of matchings in graphs with large girth. Cavity method is an important he...
Mohsen Bayati, Chandra Nair