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» Asim: A Performance Model Framework
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COGSCI
2006
75views more  COGSCI 2006»
15 years 6 months ago
A Hierarchical Bayesian Model of Human Decision-Making on an Optimal Stopping Problem
We consider human performance on an optimal stopping problem where people are presented with a list of numbers independently chosen from a uniform distribution. People are told ho...
Michael D. Lee
ICDAR
2011
IEEE
14 years 6 months ago
Browsing Heterogeneous Document Collections by a Segmentation-Free Word Spotting Method
—In this paper, we present a segmentation-free word spotting method that is able to deal with heterogeneous document image collections. We propose a patch-based framework where p...
Marçal Rusiñol, David Aldavert, Rica...
SIGADA
2007
Springer
16 years 17 days ago
AADL modeling and analysis of hierarchical schedulers
A system based on a hierarchical scheduler is a system in which the processor is shared between several collaborative schedulers. Such schedulers exist since 1960 and they are bec...
Frank Singhoff, Alain Plantec
ML
2008
ACM
15 years 6 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
SIGIR
2006
ACM
16 years 12 days ago
Respect my authority!: HITS without hyperlinks, utilizing cluster-based language models
We present an approach to improving the precision of an initial document ranking wherein we utilize cluster information within a graph-based framework. The main idea is to perform...
Oren Kurland, Lillian Lee