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JMLR
2010
107views more  JMLR 2010»
13 years 2 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
ICS
2010
Tsinghua U.
14 years 5 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
SIGMOD
2004
ACM
199views Database» more  SIGMOD 2004»
14 years 7 months ago
Approximate XML Query Answers
The rapid adoption of XML as the standard for data representation and exchange foreshadows a massive increase in the amounts of XML data collected, maintained, and queried over th...
Neoklis Polyzotis, Minos N. Garofalakis, Yannis E....
COMCOM
2007
136views more  COMCOM 2007»
13 years 7 months ago
Demand-scalable geographic multicasting in wireless sensor networks
In this paper, we focus on the challenge of demand-scalable multicast routing in wireless sensor networks. Due to the ad-hoc nature of the placement of the sensor nodes as well as...
Shibo Wu, K. Selçuk Candan
VLDB
2005
ACM
162views Database» more  VLDB 2005»
14 years 1 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...