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» Models for Data-Flow Sequential Processes
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ICML
2004
IEEE
14 years 8 months ago
Learning associative Markov networks
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
ICMI
2009
Springer
147views Biometrics» more  ICMI 2009»
14 years 1 months ago
Multimodal end-of-turn prediction in multi-party meetings
One of many skills required to engage properly in a conversation is to know the appropiate use of the rules of engagement. In order to engage properly in a conversation, a virtual...
Iwan de Kok, Dirk Heylen
TAP
2009
Springer
178views Hardware» more  TAP 2009»
14 years 1 months ago
Dynamic Symbolic Execution for Testing Distributed Objects
Abstract. This paper extends dynamic symbolic execution to distributed and concurrent systems. Dynamic symbolic execution can be used in software testing to systematically identify...
Andreas Griesmayer, Bernhard K. Aichernig, Einar B...
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
14 years 19 days ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
WSC
2007
13 years 9 months ago
SBatch: a spaced batch means procedure for simulation analysis
We discuss SBatch, a simplified procedure for steady-state simulation analysis that is based on spaced batch means, incorporating many advantages of its predecessorsASAP3 and WAS...
Emily K. Lada, James R. Wilson