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AI
1998
Springer
13 years 9 months ago
A Hybrid Convergent Method for Learning Probabilistic Networks
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Jun Liu, Kuo-Chu Chang, Jing Zhou
P2P
2005
IEEE
112views Communications» more  P2P 2005»
13 years 10 months ago
Randomized Protocols for Duplicate Elimination in Peer-to-Peer Storage Systems
Distributed peer-to-peer systems rely on voluntary participation of peers to effectively manage a storage pool. In such systems, data is generally replicated for performance and a...
Ronaldo A. Ferreira, Murali Krishna Ramanathan, An...
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 6 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu
FUIN
2008
108views more  FUIN 2008»
13 years 3 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
PODS
2008
ACM
159views Database» more  PODS 2008»
14 years 5 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor