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2010
Tsinghua U.
14 years 2 months ago
Distribution-Specific Agnostic Boosting
We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...
Vitaly Feldman
MOBICOM
2009
ACM
13 years 11 months ago
Opportunistic flooding in low-duty-cycle wireless sensor networks with unreliable links
Intended for network-wide dissemination of commands, configurations and code binaries, flooding has been investigated extensively in wireless networks. However, little work has ...
Shuo Guo, Yu Gu, Bo Jiang, Tian He
SIGECOM
2010
ACM
183views ECommerce» more  SIGECOM 2010»
13 years 9 months ago
The unavailable candidate model: a decision-theoretic view of social choice
One of the fundamental problems in the theory of social choice is aggregating the rankings of a set of agents (or voters) into a consensus ranking. Rank aggregation has found appl...
Tyler Lu, Craig Boutilier
VLDB
2005
ACM
162views Database» more  VLDB 2005»
13 years 10 months ago
XQuery Implementation in a Relational Database System
Many enterprise applications prefer to store XML data as a rich data type, i.e. a sequence of bytes, in a relational database system to avoid the complexity of decomposing the dat...
Shankar Pal, Istvan Cseri, Oliver Seeliger, Michae...
ESWA
2007
176views more  ESWA 2007»
13 years 4 months ago
Credit scoring with a data mining approach based on support vector machines
The credit card industry has been growing rapidly recently, and thus huge numbers of consumers’ credit data are collected by the credit department of the bank. The credit scorin...
Cheng-Lung Huang, Mu-Chen Chen, Chieh-Jen Wang