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» Learning Functions from Imperfect Positive Data
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JSAC
2008
159views more  JSAC 2008»
15 years 2 months ago
Limited feedback-based block diagonalization for the MIMO broadcast channel
Block diagonalization is a linear precoding technique for the multiple antenna broadcast (downlink) channel that involves transmission of multiple data streams to each receiver su...
Niranjay Ravindran, Nihar Jindal
161
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CORR
2006
Springer
145views Education» more  CORR 2006»
15 years 2 months ago
MIMO Broadcast Channels with Block Diagonalization and Finite Rate Feedback
Block diagonalization is a linear precoding technique for the multiple antenna broadcast (downlink) channel that involves transmission of multiple data streams to each receiver su...
Niranjay Ravindran, Nihar Jindal
115
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BIB
2006
172views more  BIB 2006»
15 years 2 months ago
Advances in the Exon-Intron Database (EID)
Investigation of exon^intron gene structures is a non-trivial task due to enormous expansions of the eukaryotic genomes, great variety of gene forms, and the imperfectness in sequ...
Valery Shepelev, Alexei Fedorov
TSMC
2008
102views more  TSMC 2008»
15 years 2 months ago
Generalized Cost-Function-Based Forecasting for Periodically Measured Nonstationary Traffic
Abstract-- In this paper, we address the issue of forecasting for periodically measured nonstationary traffic based on statistical time series modeling. Often with time series base...
Balaji Krithikaivasan, Yong Zeng, Deep Medhi
119
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COLT
2008
Springer
15 years 4 months ago
On the Power of Membership Queries in Agnostic Learning
We study the properties of the agnostic learning framework of Haussler [Hau92] and Kearns, Schapire and Sellie [KSS94]. In particular, we address the question: is there any situat...
Vitaly Feldman