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ICPP
2008
IEEE
16 years 26 days ago
Machine Learning Models to Predict Performance of Computer System Design Alternatives
Computer manufacturers spend a huge amount of time, resources, and money in designing new systems and newer configurations, and their ability to reduce costs, charge competitive p...
Berkin Özisikyilmaz, Gokhan Memik, Alok N. Ch...
CONEXT
2006
ACM
16 years 12 days ago
Modeling ping times in first person shooter games
In First Person Shooter (FPS) games the Round Trip Time (RTT), i.e., the sum of the network delay from client to server and the network delay from server to client, impacts the ga...
Natalie Degrande, Danny De Vleeschauwer, Robert E....
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 6 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
IJON
2010
189views more  IJON 2010»
15 years 4 months ago
Inference and parameter estimation on hierarchical belief networks for image segmentation
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Christian Wolf, Gérald Gavin
DSN
2002
IEEE
15 years 11 months ago
Pinpoint: Problem Determination in Large, Dynamic Internet Services
Traditional problem determination techniques rely on static dependency models that are difficult to generate accurately in today’s large, distributed, and dynamic application e...
Mike Y. Chen, Emre Kiciman, Eugene Fratkin, Armand...