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» Complexity of Reasoning over Temporal Data Models
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PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
15 years 2 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
ISNN
2007
Springer
15 years 10 months ago
Hybrid Intelligent Modeling Approach for the Ball Mill Grinding Process
Modeling for the ball mill grinding process is still an imperative but difficult problem for the optimal control of mineral processing industry. Due to the integrated complexities ...
Ming Tie, Jing Bi, Yushun Fan
DAC
2007
ACM
15 years 8 months ago
Memory Modeling in ESL-RTL Equivalence Checking
When designers create RTL models from a system-level specification, arrays in the system-level model are often implemented as memories in the RTL. Knowing the correspondence betwe...
Alfred Kölbl, Jerry R. Burch, Carl Pixley
SRDS
2007
IEEE
15 years 10 months ago
The Fail-Heterogeneous Architectural Model
Fault tolerant distributed protocols typically utilize a homogeneous fault model, either fail-crash or fail-Byzantine, where all processors are assumed to fail in the same manner....
Marco Serafini, Neeraj Suri
EMSOFT
2003
Springer
15 years 9 months ago
Space Reductions for Model Checking Quasi-Cyclic Systems
Despite significant research on state-space reductions, the poor scalability of model checking for reasoning about behavioral models of large, complex systems remains the chief ob...
Matthew B. Dwyer, Robby, Xianghua Deng, John Hatcl...