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ACMSE
2010
ACM
14 years 4 months ago
Learning to rank using 1-norm regularization and convex hull reduction
The ranking problem appears in many areas of study such as customer rating, social science, economics, and information retrieval. Ranking can be formulated as a classification pro...
Xiaofei Nan, Yixin Chen, Xin Dang, Dawn Wilkins
ICCAD
1999
IEEE
86views Hardware» more  ICCAD 1999»
15 years 1 months ago
Clock skew scheduling for improved reliability via quadratic programming
This paper considers the problem of determining an optimal clock skew schedule for a synchronous VLSI circuit. A novel formulation of clock skew scheduling as a constrained quadrat...
Ivan S. Kourtev, Eby G. Friedman
ANOR
2002
99views more  ANOR 2002»
14 years 9 months ago
An Inventory-Location Model: Formulation, Solution Algorithm and Computational Results
We introduce a distribution center (DC) location model that incorporates working inventory and safety stock inventory costs at the distribution centers. In addition, the model inco...
Mark S. Daskin, Collette R. Coullard, Zuo-Jun Max ...
NIPS
2001
14 years 11 months ago
Learning Lateral Interactions for Feature Binding and Sensory Segmentation
We present a new approach to the supervised learning of lateral interactions for the competitive layer model (CLM) dynamic feature binding architecture. The method is based on con...
Heiko Wersing
NIPS
2003
14 years 11 months ago
Kernel Dimensionality Reduction for Supervised Learning
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
Kenji Fukumizu, Francis R. Bach, Michael I. Jordan