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AAAI
2000
13 years 9 months ago
A Unified Bias-Variance Decomposition for Zero-One and Squared Loss
The bias-variance decomposition is a very useful and widely-used tool for understanding machine-learning algorithms. It was originally developed for squared loss. In recent years,...
Pedro Domingos
AAAI
1997
13 years 8 months ago
Template-Based Information Mining from HTML Documents
Tools for mining information from data can create added value for the Internet. As the majority of electronic documents available over the network are in unstructured textual form...
Jane Yung-jen Hsu, Wen-tau Yih
CASCON
1997
85views Education» more  CASCON 1997»
13 years 8 months ago
Fast detection of communication patterns in distributed executions
Understanding distributed applications is a tedious and di cult task. Visualizations based on process-time diagrams are often used to obtain a better understanding of the executio...
Thomas Kunz, Michiel F. H. Seuren
FTCS
1997
100views more  FTCS 1997»
13 years 8 months ago
Discriminating Fault Rate and Persistency to Improve Fault Treatment
In this paper the consolidate identification of faults, distinguished as transient or permanent/intermittent, is approached. Transient faults discrimination has long been performe...
Andrea Bondavalli, Silvano Chiaradonna, Felicita D...
ISMB
1997
13 years 8 months ago
RIBOWEB: Linking Structural Computations to a Knowledge Base of Published Experimental Data
The world wide web(WWW)has becomecritical for storing and disseminatingbiological data. It offers an additional opportunity, however,to support distributed computation and sharing...
Richard O. Chen, Ramon M. Felciano, Russ B. Altman