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TCS
2010
13 years 6 months ago
Active learning in heteroscedastic noise
We consider the problem of actively learning the mean values of distributions associated with a finite number of options. The decision maker can select which option to generate t...
András Antos, Varun Grover, Csaba Szepesv&a...
PKDD
2004
Springer
205views Data Mining» more  PKDD 2004»
14 years 1 months ago
Breaking Through the Syntax Barrier: Searching with Entities and Relations
The next wave in search technology will be driven by the identification, extraction, and exploitation of real-world entities represented in unstructured textual sources. Search sy...
Soumen Chakrabarti
ICC
2011
IEEE
219views Communications» more  ICC 2011»
12 years 7 months ago
Deterministic Equivalents for the Performance Analysis of Isometric Random Precoded Systems
—We consider a general wireless channel model for different types of code-division multiple access (CDMA) and space-division multiple-access (SDMA) systems with isometric random ...
Jakob Hoydis, Romain Couillet, Mérouane Deb...
IJSYSC
2000
74views more  IJSYSC 2000»
13 years 7 months ago
Towards the evolutionary emergence of increasingly complex advantageous behaviours
The generation of complex entities with advantageous behaviours beyond our manual design capability requires long-term incremental evolution with continuing emergence. In this pap...
A. D. Channon, Robert I. Damper
INFOCOM
2007
IEEE
14 years 2 months ago
The Impact of Stochastic Noisy Feedback on Distributed Network Utility Maximization
—The implementation of distributed network utility maximization (NUM) algorithms hinges heavily on information feedback through message passing among network elements. In practic...
Junshan Zhang, Dong Zheng, Mung Chiang