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COLT
2010
Springer
14 years 7 months ago
Toward Learning Gaussian Mixtures with Arbitrary Separation
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
Mikhail Belkin, Kaushik Sinha
EMSOFT
2010
Springer
14 years 7 months ago
Power-aware temporal isolation with variable-bandwidth servers
Variable-bandwidth servers (VBS) control process execution speed by allocating variable CPU bandwidth to processes. VBS enables temporal isolation of EDF-scheduled processes in th...
Silviu S. Craciunas, Christoph M. Kirsch, Ana Soko...
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
14 years 7 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
WINE
2010
Springer
129views Economy» more  WINE 2010»
14 years 7 months ago
Optimal Pricing in the Presence of Local Network Effects
We study the optimal pricing strategies of a monopolist selling a divisible good (service) to consumers that are embedded in a social network. A key feature of our model is that c...
Ozan Candogan, Kostas Bimpikis, Asuman E. Ozdaglar
ALENEX
2009
172views Algorithms» more  ALENEX 2009»
14 years 7 months ago
Rank Aggregation: Together We're Strong
We consider the problem of finding a ranking of a set of elements that is "closest to" a given set of input rankings of the elements; more precisely, we want to find a p...
Frans Schalekamp, Anke van Zuylen
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