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SDM
2007
SIAM
104views Data Mining» more  SDM 2007»
15 years 5 months ago
Boosting Optimal Logical Patterns Using Noisy Data
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
Noam Goldberg, Chung-chieh Shan
CORR
2007
Springer
126views Education» more  CORR 2007»
15 years 4 months ago
Optimal Throughput-Diversity-Delay Tradeoff in MIMO ARQ Block-Fading Channels
In this paper, we consider an automatic-repeat-request (ARQ) retransmission protocol signaling over a block-fading multiple-input, multiple-output (MIMO) channel. Unlike previous ...
Allen Chuang, Albert Guillen i Fabregas, Lars K. R...
JSAC
2008
125views more  JSAC 2008»
15 years 4 months ago
Optimal Competitive Algorithms for Opportunistic Spectrum Access
We consider opportunistic spectrum access (OSA) strategies for a transmitter in a multichannel wireless system, where a channel may or may not be available and the transmitter must...
Nicholas B. Chang, Mingyan Liu
PPDP
2010
Springer
15 years 2 months ago
Graph queries through datalog optimizations
This paperdescribes the use of a powerful graph query language for querying programs, and a novel combination of transformations for generating efficient implementations of the q...
K. Tuncay Tekle, Michael Gorbovitski, Yanhong A. L...
TSP
2010
14 years 11 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat