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ICPR
2010
IEEE
15 years 4 months ago
Cross Entropy Optimization of the Random Set Framework for Multiple Instance Learning
Abstract--Multiple instance learning (MIL) is a recently researched technique used for learning a target concept in the presence of noise. Previously, a random set framework for mu...
Jeremy Bolton, Paul D. Gader
ICDE
2007
IEEE
119views Database» more  ICDE 2007»
16 years 1 months ago
Stream Variables: A Quick but not Dirty SQL Extension for Continuous Queries
The ability to query data streams is of increasing importance and has been identified as a crucial element for modern organizations and agencies. This paper identifies a class o...
Damianos Chatziantoniou, Yannis Sotiropoulos
BPM
2006
Springer
158views Business» more  BPM 2006»
15 years 10 months ago
Flexibility of Data-Driven Process Structures
Abstract. The coordination of complex process structures is a fundamental task for enterprises, such as in the automotive industry. Usually, such process structures consist of seve...
Dominic Müller, Manfred Reichert, Joachim Her...
SERP
2008
15 years 8 months ago
Mapping Data-Flow Dependencies onto Distributed Embedded Systems
Model-driven development (MDD) is an emerging paradigm and has become state-of-the-art for embedded systems software design. In the overall design process, several steps have to be...
Stefan Kugele, Wolfgang Haberl
CORR
2012
Springer
171views Education» more  CORR 2012»
14 years 2 months ago
Discovering causal structures in binary exclusive-or skew acyclic models
Discovering causal relations among observed variables in a given data set is a main topic in studies of statistics and artificial intelligence. Recently, some techniques to disco...
Takanori Inazumi, Takashi Washio, Shohei Shimizu, ...