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» Estimation of Chaotic Probabilities
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ML
2012
ACM
413views Machine Learning» more  ML 2012»
12 years 4 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
ICIC
2007
Springer
14 years 3 months ago
A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression
Abstract. Using the classical Parzen window (PW) estimate as the target function, the sparse kernel density estimator is constructed in a forward constrained regression manner. The...
Xia Hong, Sheng Chen, Chris Harris
ICASSP
2010
IEEE
13 years 9 months ago
Direct importance estimation with probabilistic principal component analyzers
The importance estimation problem (estimating the ratio of two probability density functions) has recently gathered a great deal of attention for use in various applications, e.g....
Makoto Yamada, Masashi Sugiyama, Gordon Wichern
COLING
1996
13 years 10 months ago
Word Extraction from Corpora and Its Part-of-Speech Estimation Using Distributional Analysis
Unknown words are inevitable at any step of analysis in natural language processing. Wc propose a method to extract words from a corl)us and estimate the probability that each wor...
Shinsuke Mori, Makoto Nagao
VTC
2008
IEEE
150views Communications» more  VTC 2008»
14 years 3 months ago
Iterative Residual Frequency Offset Correction for OFDM Systems
The estimation and tracking of the fractional carrier frequency offset (CFO) is a crucial issue in the implementation of orthogonal frequency division multiplexing (OFDM) systems....
Mohamed Marey, Mamoun Guenach, Heidi Steendam