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» Graph Mining based on a Data Partitioning Approach
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ICML
2007
IEEE
16 years 4 months ago
Learning state-action basis functions for hierarchical MDPs
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
Sarah Osentoski, Sridhar Mahadevan
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 3 months ago
Ordering patterns by combining opinions from multiple sources
Pattern ordering is an important task in data mining because the number of patterns extracted by standard data mining algorithms often exceeds our capacity to manually analyze the...
Pang-Ning Tan, Rong Jin
ICDE
2010
IEEE
260views Database» more  ICDE 2010»
16 years 3 months ago
Anonymizing Weighted Social Network Graphs
The increasing popularity of social networks has initiated a fertile research area in information extraction and data mining. Although such analysis can facilitate better understan...
Sudipto Das, Ömer Egecioglu, Amr El Abbadi
TON
2008
122views more  TON 2008»
15 years 3 months ago
Distributed throughput maximization in wireless mesh networks via pre-partitioning
Abstract-- This paper considers the interaction between channel assignment and distributed scheduling in multi-channel multiradio Wireless Mesh Networks (WMNs). Recently, a number ...
Andrew Brzezinski, Gil Zussman, Eytan Modiano
AAAI
2007
15 years 5 months ago
GRIN: A Graph Based RDF Index
RDF (“Resource Description Framework”) is now a widely used World Wide Web Consortium standard. However, methods to index large volumes of RDF data are still in their infancy....
Octavian Udrea, Andrea Pugliese, V. S. Subrahmania...