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148
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UAI
1998
15 years 3 months ago
A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
Stefano Monti, Gregory F. Cooper
IJCAI
1997
15 years 3 months ago
Learning to Improve both Efficiency and Quality of Planning
Most research in learning for planning has concentrated on efficiency gains. Another important goal is improving the quality of final plans. Learning to improve plan quality has b...
Tara A. Estlin, Raymond J. Mooney
110
Voted
GLOBECOM
2008
IEEE
15 years 2 months ago
Towards the Performance of ML and the Complexity of MMSE - A Hybrid Approach
—In this paper, we present a near ML-achieving sphere search technique that reduces the number of search operations significantly over existing sphere decoding (SD) algorithms. ...
Byonghyo Shim, Jun Won Choi, Insung Kang
92
Voted
CN
2006
56views more  CN 2006»
15 years 1 months ago
Maximizing remote work in flooding-based peer-to-peer systems
In peer-to-peer (P2P) systems where individual peers must cooperate to process each other's requests, a useful metric for evaluating the system is how many remote requests ar...
Qixiang Sun, Neil Daswani, Hector Garcia-Molina
GEOINFORMATICA
2006
94views more  GEOINFORMATICA 2006»
15 years 1 months ago
Spatial Query Estimation without the Local Uniformity Assumption
Existing estimation approaches for spatial databases often rely on the assumption that data distribution in a small region is uniform, which seldom holds in practice. Moreover, the...
Yufei Tao, Christos Faloutsos, Dimitris Papadias