43 search results - page 2 / 9 » A Study of Global Inference Algorithms in Multi-document Sum... |
98
Voted
KDD
2006
ACM
15 years 10 months ago
2006
ACM
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
88
Voted
ICML
2005
IEEE
15 years 11 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
126
Voted
TFS
2008
14 years 9 months ago
2008
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
100
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CPAIOR
2008
Springer
15 years 11 hour ago
2008
Springer
Theoretical models for the evaluation of quickly improving search strategies, like limited discrepancy search, are based on specific assumptions regarding the probability that a va...
98
Voted
IPSN
2007
Springer
15 years 4 months ago
2007
Springer
Large-scale sensor network applications require in-network processing and data fusion to compute statistically relevant summaries of the sensed measurements. This paper studies di...