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» Randomizing Reductions of Search Problems
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SIGIR
2009
ACM
14 years 2 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero
IBERAMIA
2004
Springer
14 years 1 months ago
Constrainedness and Redundancy by Constraint Ordering
Abstract. In constraint satisfaction, a general rule is to tackle the hardest part of a search problem first. In this paper, we introduce a parameter (τ) that measures the constr...
Miguel A. Salido, Federico Barber
TSMC
1998
78views more  TSMC 1998»
13 years 7 months ago
Automata learning and intelligent tertiary searching for stochastic point location
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
B. John Oommen, Govindachari Raghunath
TSP
2008
100views more  TSP 2008»
13 years 8 months ago
Optimal Two-Stage Search for Sparse Targets Using Convex Criteria
We consider the problem of estimating and detecting sparse signals over a large area of an image or other medium. We introduce a novel cost function that captures the tradeoff bet...
Eran Bashan, Raviv Raich, Alfred O. Hero III
CEC
2010
IEEE
13 years 9 months ago
Local Optima Networks of the Quadratic Assignment Problem
Using a recently proposed model for combinatorial landscapes, Local Optima Networks (LON), we conduct a thorough analysis of two types of instances of the Quadratic Assignment Prob...
Fabio Daolio, Sébastien Vérel, Gabri...