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GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
15 years 4 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke
146
Voted
LREC
2010
159views Education» more  LREC 2010»
15 years 4 months ago
Towards Optimal TTS Corpora
Unit selection text-to-speech systems currently produce very natural synthesized phrases by concatenating speech segments from a large database. Recently, increasing demand for de...
Didier Cadic, Cédric Boidin, Christophe d'A...
ICCAD
2009
IEEE
119views Hardware» more  ICCAD 2009»
15 years 1 months ago
Iterative layering: Optimizing arithmetic circuits by structuring the information flow
Current logic synthesis techniques are ineffective for arithmetic circuits. They perform poorly for XOR-dominated circuits, and those with a high fan-in dependency between inputs ...
Ajay K. Verma, Philip Brisk, Paolo Ienne
172
Voted
JMLR
2012
13 years 5 months ago
Multi Kernel Learning with Online-Batch Optimization
In recent years there has been a lot of interest in designing principled classification algorithms over multiple cues, based on the intuitive notion that using more features shou...
Francesco Orabona, Jie Luo, Barbara Caputo
ICC
2009
IEEE
190views Communications» more  ICC 2009»
15 years 10 months ago
Decomposition for Low-Complexity Near-Optimal Routing in Multi-Hop Wireless Networks
Abstract—Network flow models serve as a popular mathematical framework for the analysis and optimization of Multi-hop Wireless Networks. They also serve to provide the understan...
Vinay Kolar, Nael B. Abu-Ghazaleh, Petri Mäh&...