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» Reformulating Constraint Models Using Input Data
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ISMIS
2000
Springer
15 years 1 months ago
Design of Rough Neurons: Rough Set Foundation and Petri Net Model
This paper introduces the design of rough neurons based on rough sets. Rough neurons instantiate approximate reasoning in assessing knowledge gleaned from input data. Each neuron c...
James F. Peters, Andrzej Skowron, Zbigniew Suraj, ...
ICDE
2007
IEEE
149views Database» more  ICDE 2007»
15 years 11 months ago
Optimizing Timestamp Management in Data Stream Management Systems
It has long been recognized that multi-stream operators, such as union and join, often have to wait idly in a temporarily blocked state, as a result of skews between the timestamp...
Yijian Bai, Hetal Thakkar, Haixun Wang, Carlo Zani...
MICCAI
2010
Springer
14 years 8 months ago
Generalized Sparse Classifiers for Decoding Cognitive States in fMRI
The high dimensionality of functional magnetic resonance imaging (fMRI) data presents major challenges to fMRI pattern classification. Directly applying standard classifiers often ...
Bernard Ng, Arash Vahdat, Ghassan Hamarneh, Rafeef...
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
14 years 7 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
SIGMOD
2004
ACM
173views Database» more  SIGMOD 2004»
15 years 10 months ago
Relaxed Currency and Consistency: How to Say "Good Enough" in SQL
Despite the widespread and growing use of asynchronous copies to improve scalability, performance and availability, this practice still lacks a firm semantic foundation. Applicati...
Hongfei Guo, Jonathan Goldstein, Per-Åke Lar...