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» Process Diagnostics: A Method Based on Process Mining
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ACL
2004
14 years 11 months ago
Convolution Kernels with Feature Selection for Natural Language Processing Tasks
Convolution kernels, such as sequence and tree kernels, are advantageous for both the concept and accuracy of many natural language processing (NLP) tasks. Experiments have, howev...
Jun Suzuki, Hideki Isozaki, Eisaku Maeda
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
12 years 12 months ago
Web image prediction using multivariate point processes
In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...
Gunhee Kim, Fei-Fei Li, Eric P. Xing
DFT
2008
IEEE
120views VLSI» more  DFT 2008»
15 years 3 months ago
Built-in-Self-Diagnostics for a NoC-Based Reconfigurable IC for Dependable Beamforming Applications
Integrated circuits (IC) targeting at the streaming applications for tomorrow are becoming a fast growing market. Applications such as beamforming require mass computing capabilit...
Oscar Kuiken, Xiao Zhang, Hans G. Kerkhoff
MTV
2005
IEEE
138views Hardware» more  MTV 2005»
15 years 3 months ago
Diagnosing Faulty Functional Units in Processors by Using Automatically Generated Test Sets
Microprocessor technology is increasingly used for many applications; the large market volumes call for cost containment in the production phase. Process yield for processor produ...
Paolo Bernardi, Ernesto Sánchez, Massimilia...
BPM
2009
Springer
161views Business» more  BPM 2009»
15 years 4 months ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...