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KDD
2004
ACM
158views Data Mining» more  KDD 2004»
16 years 7 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
HPCA
2006
IEEE
16 years 7 months ago
Probabilistic counter updates for predictor hysteresis and stratification
Hardware counters are a fundamental building block of modern high-performance processors. This paper explores two applications of probabilistic counter updates, in which the outpu...
Nicholas Riley, Craig B. Zilles
HPCA
2004
IEEE
16 years 7 months ago
Reducing the Scheduling Critical Cycle Using Wakeup Prediction
For highest performance, a modern microprocessor must be able to determine if an instruction is ready in the same cycle in which it is to be selected for execution. This creates a...
Todd E. Ehrhart, Sanjay J. Patel
HPCA
2003
IEEE
16 years 7 months ago
Variability in Architectural Simulations of Multi-Threaded Workloads
Multi-threaded commercial workloads implement many important internet services. Consequently, these workloads are increasingly used to evaluate the performance of uniprocessor and...
Alaa R. Alameldeen, David A. Wood
RECOMB
2001
Springer
16 years 7 months ago
Context-specific Bayesian clustering for gene expression data
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
Yoseph Barash, Nir Friedman