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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
NAR
2006
97views more  NAR 2006»
15 years 6 months ago
CTGA: the database for genetic disorders in Arab populations
The Arabs comprise a genetically heterogeneous group that resulted from the admixture of different populations throughout history. They share many common characteristics responsib...
Ghazi O. Tadmouri, Mahmoud Taleb Al Ali, Sarah Al-...
ALIFE
2005
15 years 6 months ago
Modular Interdependency in Complex Dynamical Systems
Hierarchical modularity is a familiar characteristic of a large class of natural dynamical systems. A normal interpretation of modularity is that interactions between subsystems a...
Richard A. Watson, Jordan B. Pollack
TSE
2008
92views more  TSE 2008»
15 years 6 months ago
Evaluating Test Suites and Adequacy Criteria Using Simulation-Based Models of Distributed Systems
Test adequacy criteria provide the engineer with guidance on how to populate test suites. While adequacy criteria have long been a focus of research, existing testing methods do no...
Matthew J. Rutherford, Antonio Carzaniga, Alexande...
158
Voted
CN
2004
109views more  CN 2004»
15 years 6 months ago
Modeling correlations in web traces and implications for designing replacement policies
A number of web cache-related algorithms, such as replacement and prefetching policies, rely on specific characteristics present in the sequence of requests for efficient performa...
Konstantinos Psounis, An Zhu, Balaji Prabhakar, Ra...