Sciweavers

691 search results - page 69 / 139
» Using Classifiers to Solve Warehouse Location Problems
Sort
View
SODA
2004
ACM
127views Algorithms» more  SODA 2004»
14 years 11 months ago
An optimal randomized algorithm for maximum Tukey depth
We present the first optimal algorithm to compute the maximum Tukey depth (also known as location or halfspace depth) for a non-degenerate point set in the plane. The algorithm is...
Timothy M. Chan
ICASSP
2010
IEEE
14 years 10 months ago
A convex relaxation for approximate maximum-likelihood 2D source localization from range measurements
This paper addresses the problem of locating a single source from noisy range measurements in wireless sensor networks. An approximate solution to the maximum likelihood location ...
Pinar Oguz-Ekim, João Pedro Gomes, Jo&atild...
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 3 months ago
MDGA: motif discovery using a genetic algorithm
Computationally identifying transcription factor binding sites in the promoter regions of genes is an important problem in computational biology and has been under intensive resea...
Dongsheng Che, Yinglei Song, Khaled Rasheed
ICPR
2002
IEEE
15 years 11 months ago
Prototype Selection for Finding Efficient Representations of Dissimilarity Data
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...
Elzbieta Pekalska, Robert P. W. Duin
JMLR
2008
168views more  JMLR 2008»
14 years 10 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...