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ICML
2005
IEEE
16 years 5 months ago
Bayesian hierarchical clustering
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
Katherine A. Heller, Zoubin Ghahramani
ICML
2004
IEEE
16 years 5 months ago
Learning and discovery of predictive state representations in dynamical systems with reset
Predictive state representations (PSRs) are a recently proposed way of modeling controlled dynamical systems. PSR-based models use predictions of observable outcomes of tests that...
Michael R. James, Satinder P. Singh
ICML
1997
IEEE
16 years 5 months ago
Predicting Multiprocessor Memory Access Patterns with Learning Models
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
WWW
2007
ACM
16 years 5 months ago
AutoPerf: an automated load generator and performance measurement tool for multi-tier software systems
We present a load generator and performance measurement tool (AutoPerf ) which requires minimal input and configuration from the user, and produces a comprehensive capacity analys...
Shrirang Sudhir Shirodkar, Varsha Apte
WWW
2006
ACM
16 years 5 months ago
WAP5: black-box performance debugging for wide-area systems
Wide-area distributed applications are challenging to debug, optimize, and maintain. We present Wide-Area Project 5 (WAP5), which aims to make these tasks easier by exposing the c...
Patrick Reynolds, Janet L. Wiener, Jeffrey C. Mogu...