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NIPS
1994
15 years 4 months ago
Factorial Learning and the EM Algorithm
Many real world learning problems are best characterized by an interaction of multiple independent causes or factors. Discovering such causal structure from the data is the focus ...
Zoubin Ghahramani
79
Voted
AUTOMATICA
2007
68views more  AUTOMATICA 2007»
15 years 3 months ago
A risk adjusted approach to robust simultaneous fault detection and isolation
: In this paper we address the problem of detecting and isolating faults from noisy input/output measurements of a MIMO uncertain–system, subject to structured dynamic uncertaint...
Wenjing Ma, Mario Sznaier, Constantino M. Lagoa
129
Voted
CSDA
2006
155views more  CSDA 2006»
15 years 3 months ago
Modelling the mean of a doubly stochastic Poisson process by functional data analysis
A new procedure for estimating the mean process of a doubly stochastic Poisson process is introduced. The proposed estimation is based on monotone piecewise cubic interpolation of...
P. R. Bouzas, Mariano J. Valderrama, Ana M. Aguile...
144
Voted
COMGEO
2007
ACM
15 years 3 months ago
Delaunay triangulations approximate anchor hulls
Recent results establish that a subset of the Voronoi diagram of a point set that is sampled from the smooth boundary of a shape approximates the medial axis. The corresponding qu...
Tamal K. Dey, Joachim Giesen, Samrat Goswami
130
Voted
INFORMATICALT
2000
82views more  INFORMATICALT 2000»
15 years 3 months ago
Recursive Algorithms of Time Series Observations Recognition
Abstract. The paper presents new method for sequential classification of the time series observations. Methods and algorithms of sequential recognition are obtained on the basis of...
Edward Shpilewski