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ICML
2009
IEEE
16 years 19 days ago
A convex formulation for learning shared structures from multiple tasks
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye
PERCOM
2006
ACM
15 years 11 months ago
QoS Routing in OLSR with Several Classes of Service
The Optimized Link State Routing (OLSR) protocol is a proactive link-state protocol bafor ad-hoc networks. It uses an optimization called Multi-Point Relays (MPRs) to provide an e...
Jeremie Leguay, Timur Friedman
SODA
2010
ACM
175views Algorithms» more  SODA 2010»
15 years 9 months ago
Fast SDP Algorithms for Constraint Satisfaction Problems
The class of constraint satisfactions problems (CSPs) captures many fundamental combinatorial optimization problems such as Max Cut, Max q-Cut, Unique Games, and Max k-Sat. Recent...
David Steurer
ICCAD
2004
IEEE
155views Hardware» more  ICCAD 2004»
15 years 8 months ago
Robust analog/RF circuit design with projection-based posynomial modeling
In this paper we propose a RObust Analog Design tool (ROAD) for post-tuning analog/RF circuits. Starting from an initial design derived from hand analysis or analog circuit synthe...
Xin Li, Padmini Gopalakrishnan, Yang Xu, Lawrence ...
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
15 years 6 months ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles