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PKDD
2004
Springer
324views Data Mining» more  PKDD 2004»
15 years 12 months ago
Orange: From Experimental Machine Learning to Interactive Data Mining
Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...
Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk
RSP
2003
IEEE
132views Control Systems» more  RSP 2003»
15 years 11 months ago
Rapid Exploration of Pipelined Processors through Automatic Generation of Synthesizable RTL Models
As embedded systems continue to face increasingly higher performance requirements, deeply pipelined processor architectures are being employed to meet desired system performance. ...
Prabhat Mishra, Arun Kejariwal, Nikil Dutt
FCCM
2002
IEEE
171views VLSI» more  FCCM 2002»
15 years 11 months ago
Coarse-Grain Pipelining on Multiple FPGA Architectures
Reconfigurable systems, and in particular, FPGA-based custom computing machines, offer a unique opportunity to define application-specific architectures. These architectures offer...
Heidi E. Ziegler, Byoungro So, Mary W. Hall, Pedro...
SIGMOD
2010
ACM
171views Database» more  SIGMOD 2010»
15 years 11 months ago
Variance aware optimization of parameterized queries
Parameterized queries are commonly used in database applications. In a parameterized query, the same SQL statement is potentially executed multiple times with different parameter ...
Surajit Chaudhuri, Hongrae Lee, Vivek R. Narasayya
ICCD
2005
IEEE
108views Hardware» more  ICCD 2005»
16 years 3 months ago
Methods for Modeling Resource Contention on Simultaneous Multithreading Processors
Simultaneous multithreading (SMT) seeks to improve the computation throughput of a processor core by sharing primary resources such as functional units, issue bandwidth, and cache...
Tipp Moseley, Dirk Grunwald, Joshua L. Kihm, Danie...