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» Estimation of Chaotic Probabilities
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ML
2012
ACM
413views Machine Learning» more  ML 2012»
13 years 5 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
15 years 4 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
14 years 10 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
14 years 11 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»
15 years 4 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