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KDD
2005
ACM
160views Data Mining» more  KDD 2005»
16 years 4 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
KDD
2003
ACM
162views Data Mining» more  KDD 2003»
16 years 4 months ago
Improving spatial locality of programs via data mining
In most computer systems, page fault rate is currently minimized by generic page replacement algorithms which try to model the temporal locality inherent in programs. In this pape...
Karlton Sequeira, Mohammed Javeed Zaki, Boleslaw K...
KDD
2002
ACM
160views Data Mining» more  KDD 2002»
16 years 4 months ago
Scaling multi-class support vector machines using inter-class confusion
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
Shantanu Godbole, Sunita Sarawagi, Soumen Chakraba...
VLSID
2004
IEEE
139views VLSI» more  VLSID 2004»
16 years 4 months ago
Open Defects Detection within 6T SRAM Cells using a No Write Recovery Test Mode
The detection of all open defects within 6T SRAM cells is always a challenge due to the significant test time requirements. This paper proposes a new design-for-test (DFT) techniq...
André Ivanov, Baosheng Wang, Josh Yang
VLSID
2003
IEEE
180views VLSI» more  VLSID 2003»
16 years 4 months ago
Automating Formal Modular Verification of Asynchronous Real-Time Embedded Systems
Most verification tools and methodologies such as model checking, equivalence checking, hardware verification, software verification, and hardware-software coverification often fl...
Pao-Ann Hsiung, Shu-Yu Cheng
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