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KDD
2005
ACM
139views Data Mining» more  KDD 2005»
14 years 1 months ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
14 years 1 months ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
LCPC
2005
Springer
14 years 1 months ago
Manipulating MAXLIVE for Spill-Free Register Allocation
Abstract. Many embedded systems use single-chip microcontrollers which have no on-chip RAM. In such a system, the processor registers must hold all live data values. Nanocontroller...
Shashi Deepa Arcot, Henry G. Dietz, Sarojini Priya...
LCPC
2005
Springer
14 years 1 months ago
Loop Selection for Thread-Level Speculation
Thread-level speculation (TLS) allows potentially dependent threads to speculatively execute in parallel, thus making it easier for the compiler to extract parallel threads. Howeve...
Shengyue Wang, Xiaoru Dai, Kiran Yellajyosula, Ant...
LCTRTS
2005
Springer
14 years 1 months ago
Complementing software pipelining with software thread integration
Software pipelining is a critical optimization for producing efficient code for VLIW/EPIC and superscalar processors in highperformance embedded applications such as digital sign...
Won So, Alexander G. Dean
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