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» Learning Business Process Models: A Case Study
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ICDM
2010
IEEE
167views Data Mining» more  ICDM 2010»
15 years 2 months ago
Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori...
CHI
2005
ACM
16 years 4 months ago
Blind learners programming through audio
The development of programming skills is a motivating issue in computer science. Programming languages have been increasingly used to map end-users needs and mental models. The nu...
Jaime Sánchez, Fernando Aguayo
FOIS
2006
15 years 5 months ago
Against Idiosyncrasy in Ontology Development
The world of ontology development is full of mysteries. Recently, ISO Standard 15926 ("Lifecycle Integration of Process Plant Data Including Oil and Gas Production Facilities&...
Barry Smith
CODES
2004
IEEE
15 years 7 months ago
Fast exploration of bus-based on-chip communication architectures
As a result of improvements in process technology, more and more components are being integrated into a single System-on-Chip (SoC) design. Communication between these components ...
Sudeep Pasricha, Nikil D. Dutt, Mohamed Ben-Romdha...
KDD
2008
ACM
164views Data Mining» more  KDD 2008»
16 years 4 months ago
Microscopic evolution of social networks
We present a detailed study of network evolution by analyzing four large online social networks with full temporal information about node and edge arrivals. For the first time at ...
Jure Leskovec, Lars Backstrom, Ravi Kumar, Andrew ...