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FLAIRS
2004
13 years 11 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...
IJCAI
1989
13 years 11 months ago
A Critique of the Valiant Model
This paper considers the Valiant framework as it is applied to the task of learning logical concepts from random examples. It is argued that the current interpretation of this Val...
Wray L. Buntine
BMCBI
2008
149views more  BMCBI 2008»
13 years 10 months ago
Evolution of biological sequences implies an extreme value distribution of type I for both global and local pairwise alignment s
Background: Confidence in pairwise alignments of biological sequences, obtained by various methods such as Blast or Smith-Waterman, is critical for automatic analyses of genomic d...
Olivier Bastien, Eric Maréchal
COR
2008
116views more  COR 2008»
13 years 10 months ago
Supply disruptions with time-dependent parameters
We consider a firm that faces random demand and receives product from a single supplier who faces random supply. The supplier's availability may be affected by events such as...
Andrew M. Ross, Ying Rong, Lawrence V. Snyder
JEA
1998
133views more  JEA 1998»
13 years 9 months ago
A New Deterministic Parallel Sorting Algorithm with an Experimental Evaluation
We introduce a new deterministic parallel sorting algorithm based on the regular sampling approach. The algorithm uses only two rounds of regular all-to-all personalized communica...
David R. Helman, Joseph JáJá, David ...