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ML
2008
ACM
15 years 5 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
ML
2000
ACM
150views Machine Learning» more  ML 2000»
15 years 5 months ago
Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
Filippo Menczer, Richard K. Belew
HF
2002
95views more  HF 2002»
15 years 5 months ago
Formal Verification of Human-Automation Interaction
This paper discusses a formal and rigorous approach to the analysis of operator interaction with machines. It addresses the acute problem of detecting design errors in human-machi...
Asaf Degani, Michael Heymann
CVPR
2010
IEEE
15 years 4 months ago
Rapid and accurate developmental stage recognition of C. elegans from high-throughput image data
We present a hierarchical principle for object recognition and its application to automatically classify developmental stages of C. elegans animals from a population of mixed stag...
Amelia White, Huey-Ling Kao, Patricia Cipriani, Br...
SSS
2010
Springer
143views Control Systems» more  SSS 2010»
15 years 4 months ago
Lightweight Live Migration for High Availability Cluster Service
High availability is a critical feature for service clusters and cloud computing, and is often considered more valuable than performance. One commonly used technique to enhance the...
Bo Jiang, Binoy Ravindran, Changsoo Kim