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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 5 months ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
119
Voted
EUROCAST
2007
Springer
132views Hardware» more  EUROCAST 2007»
15 years 5 months ago
Using Omnidirectional BTS and Different Evolutionary Approaches to Solve the RND Problem
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...
WCNC
2010
IEEE
15 years 5 months ago
Hedonic Coalition Formation Games for Secondary Base Station Cooperation in Cognitive Radio Networks
— In order to maintain a conflict-free environment among licensed primary users (PUs) and unlicensed secondary users (SUs) in cognitive radio networks, providing frequency and g...
Walid Saad, Zhu Han, Tamer Basar, Are Hjøru...
COLT
2006
Springer
15 years 5 months ago
Logarithmic Regret Algorithms for Online Convex Optimization
In an online convex optimization problem a decision-maker makes a sequence of decisions, i.e., chooses a sequence of points in Euclidean space, from a fixed feasible set. After ea...
Elad Hazan, Adam Kalai, Satyen Kale, Amit Agarwal
FGR
2004
IEEE
126views Biometrics» more  FGR 2004»
15 years 5 months ago
Trainable Videorealistic Speech Animation
We describe how to create with machine learning techniques a generative, videorealistic, speech animation module. A human subject is first recorded using a videocamera as he/she u...
Tony Ezzat, Gadi Geiger, Tomaso Poggio
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