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ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
14 years 10 months ago
Learning Markov Network Structure with Decision Trees
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Daniel Lowd, Jesse Davis
FPL
2011
Springer
168views Hardware» more  FPL 2011»
14 years 6 days ago
Scalable Arbiters and Multiplexers for On-FGPA Interconnection Networks
Abstract—Soft on-FGPA interconnection networks are gaining increasing importance since they simplify the integration of heterogeneous components and offer, at the same time, a mo...
Giorgos Dimitrakopoulos, Christoforos Kachris, Emm...
80
Voted
AC
2003
Springer
15 years 5 months ago
Timed Automata: Semantics, Algorithms and Tools
This chapter is to provide a tutorial and pointers to results and related work on timed automata with a focus on semantical and algorithmic aspects of verification tools. We prese...
Johan Bengtsson, Wang Yi
93
Voted
EDBT
2006
ACM
255views Database» more  EDBT 2006»
16 years 20 days ago
FIS-by-Step: Visualization of the Fast Index Scan for Nearest Neighbor Queries
Abstract. Many different index structures have been proposed for spatial databases to support efficient query processing. However, most of these index structures suffer from an exp...
Elke Achtert, Dominik Schwald
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
15 years 6 months ago
Mining Complex Time-Series Data by Learning Markovian Models
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
Yi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, ...