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DAC
2004
ACM
16 years 5 months ago
Retargetable profiling for rapid, early system-level design space exploration
Fast and accurate estimation is critical for exploration of any dece in general. As we move to higher levels of abstraction, on of complete system designs at each level of abstrac...
Lukai Cai, Andreas Gerstlauer, Daniel Gajski
DAC
2006
ACM
16 years 5 months ago
Systematic temperature sensor allocation and placement for microprocessors
Modern high performance processors employ advanced techniques for thermal management, which rely on accurate readings of on-die thermal sensors. As the importance of thermal effec...
Rajarshi Mukherjee, Seda Ogrenci Memik
ICML
2007
IEEE
16 years 5 months ago
Kernelizing PLS, degrees of freedom, and efficient model selection
Kernelizing partial least squares (PLS), an algorithm which has been particularly popular in chemometrics, leads to kernel PLS which has several interesting properties, including ...
Mikio L. Braun, Nicole Krämer
ICML
2006
IEEE
16 years 5 months ago
Learning a kernel function for classification with small training samples
When given a small sample, we show that classification with SVM can be considerably enhanced by using a kernel function learned from the training data prior to discrimination. Thi...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
132
Voted
ICML
2006
IEEE
16 years 5 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal