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FLAIRS
2000
15 years 6 months ago
Inferencing Bayesian Networks from Time Series Data Using Natural Selection
This paper describes a new framework for using natural selection to evolve Bayesian Networks for use in forecasting time series data. It extends current research by introducing a ...
Andrew J. Novobilski, Farhad Kamangar
BMCBI
2010
91views more  BMCBI 2010»
15 years 4 months ago
Coverage statistics for sequence census methods
We study the shape of coverage functions resulting from the sequencing of random genome fragments, and show that they can be described by Galton-Watson trees. This extends standar...
Steven N. Evans, Valerie Hower, Lior Pachter
ECCC
2002
74views more  ECCC 2002»
15 years 4 months ago
On the proper learning of axis parallel concepts
We study the proper learnability of axis-parallel concept classes in the PAC-learning and exactlearning models. These classes include union of boxes, DNF, decision trees and multi...
Nader H. Bshouty, Lynn Burroughs
ACL
2012
13 years 7 months ago
Higher-order Constituent Parsing and Parser Combination
This paper presents a higher-order model for constituent parsing aimed at utilizing more local structural context to decide the score of a grammar rule instance in a parse tree. E...
Xiao Chen, Chunyu Kit
ICML
2005
IEEE
16 years 5 months ago
Bayesian hierarchical clustering
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
Katherine A. Heller, Zoubin Ghahramani