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ISCA
2002
IEEE
68views Hardware» more  ISCA 2002»
13 years 9 months ago
Timekeeping in the Memory System: Predicting and Optimizing Memory Behavior
Techniques for analyzing and improving memory referencing behavior continue to be important for achieving good overall program performance due to the ever-increasing performance g...
Zhigang Hu, Margaret Martonosi, Stefanos Kaxiras
AIPS
2008
13 years 7 months ago
Stochastic Enforced Hill-Climbing
Enforced hill-climbing is an effective deterministic hillclimbing technique that deals with local optima using breadth-first search (a process called "basin flooding"). ...
Jia-Hong Wu, Rajesh Kalyanam, Robert Givan
ICDM
2009
IEEE
154views Data Mining» more  ICDM 2009»
13 years 2 months ago
GSML: A Unified Framework for Sparse Metric Learning
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
Kaizhu Huang, Yiming Ying, Colin Campbell
BMCBI
2011
12 years 11 months ago
DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learning
Background: Accurate identification of protein domain boundaries is useful for protein structure determination and prediction. However, predicting protein domain boundaries from a...
Jesse Eickholt, Xin Deng, Jianlin Cheng
ISCA
2007
IEEE
110views Hardware» more  ISCA 2007»
13 years 11 months ago
A novel dimensionally-decomposed router for on-chip communication in 3D architectures
Much like multi-storey buildings in densely packed metropolises, three-dimensional (3D) chip structures are envisioned as a viable solution to skyrocketing transistor densities an...
Jongman Kim, Chrysostomos Nicopoulos, Dongkook Par...