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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 5 months ago
A probabilistic framework for relational clustering
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
SIGMETRICS
2010
ACM
195views Hardware» more  SIGMETRICS 2010»
13 years 9 months ago
CWS: a model-driven scheduling policy for correlated workloads
We define CWS, a non-preemptive scheduling policy for workloads with correlated job sizes. CWS tackles the scheduling problem by inferring the expected sizes of upcoming jobs bas...
Giuliano Casale, Ningfang Mi, Evgenia Smirni
JCDL
2006
ACM
176views Education» more  JCDL 2006»
13 years 11 months ago
A hierarchical, HMM-based automatic evaluation of OCR accuracy for a digital library of books
A number of projects are creating searchable digital libraries of printed books. These include the Million Book Project, the Google Book project and similar efforts from Yahoo an...
Shaolei Feng, R. Manmatha
IJCAI
2003
13 years 6 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
ASMTA
2008
Springer
167views Mathematics» more  ASMTA 2008»
13 years 7 months ago
Perfect Simulation of Stochastic Automata Networks
The solution of continuous and discrete-time Markovian models is still challenging mainly when we model large complex systems, for example, to obtain performance indexes of paralle...
Paulo Fernandes, Jean-Marc Vincent, Thais Webber