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TIT
1998
96views more  TIT 1998»
13 years 8 months ago
Sequential Prediction of Individual Sequences Under General Loss Functions
Abstract— We consider adaptive sequential prediction of arbitrary binary sequences when the performance is evaluated using a general loss function. The goal is to predict on each...
David Haussler, Jyrki Kivinen, Manfred K. Warmuth
ACMSE
2009
ACM
14 years 3 months ago
Applying randomized projection to aid prediction algorithms in detecting high-dimensional rogue applications
This paper describes a research effort to improve the use of the cosine similarity information retrieval technique to detect unknown, known or variances of known rogue software by...
Travis Atkison
HPDC
2002
IEEE
14 years 1 months ago
Predicting Sporadic Grid Data Transfers
The increasingly common practice of replicating datasets and using resources as distributed data stores in Grid environments has led to the problem of determining which replica ca...
Sudharshan Vazhkudai, Jennifer M. Schopf
ICSM
2009
IEEE
14 years 3 months ago
Predicting change impact from logical models
To improve the ability of predicting the impact scope of a given change, we present two approaches applicable to the maintenance of object-oriented software systems. Our first ap...
Sunny Wong, Yuanfang Cai
ICCS
2007
Springer
14 years 3 months ago
Neural Networks for Predicting the Behavior of Preconditioned Iterative Solvers
We evaluate the effectiveness of neural networks as a tool for predicting whether a particular combination of preconditioner and iterative method will correctly solve a given spar...
America Holloway, Tzu-Yi Chen