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NAACL
2010
15 years 4 months ago
Constraint-Driven Rank-Based Learning for Information Extraction
Most learning algorithms for undirected graphical models require complete inference over at least one instance before parameter updates can be made. SampleRank is a rankbased lear...
Sameer Singh, Limin Yao, Sebastian Riedel, Andrew ...
IPM
2007
105views more  IPM 2007»
15 years 6 months ago
Parsimonious translation models for information retrieval
In the KL divergence framework, the extended language modeling approach has a critical problem estimating a query model, which is the probabilistic model that encodes user’s inf...
Seung-Hoon Na, In-Su Kang, Jong-Hyeok Lee
DAC
2007
ACM
16 years 7 months ago
Global Critical Path: A Tool for System-Level Timing Analysis
An effective method for focusing optimization effort on the most important parts of a design is to examine those elements on the critical path. Traditionally, the critical path is...
Girish Venkataramani, Mihai Budiu, Tiberiu Chelcea...
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
16 years 28 days ago
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendh...
AIR
2005
99views more  AIR 2005»
15 years 6 months ago
Evolving General Term-Weighting Schemes for Information Retrieval: Tests on Larger Collections
Term-weighting schemes are vital to the performance of Information Retrieval models that use term frequency characteristics to determine the relevance of a document. The vector spa...
Ronan Cummins, Colm O'Riordan