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» Stochastic Composite Likelihood
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MSS
2011
IEEE
159views Hardware» more  MSS 2011»
13 years 7 days ago
Reversals of signal-posterior monotonicity for any bounded prior
Paul Milgrom (The Bell Journal of Economics, 12(2): 380–391) showed that if the strict monotone likelihood ratio property (MLRP) does not hold for a conditional distribution the...
Christopher P. Chambers, Paul J. Healy
AICT
2006
IEEE
129views Communications» more  AICT 2006»
14 years 8 days ago
Stochastic Thresholding: An approach to Estimator Optimization via Fisher Information Maximization
In stochastic thresholding, the threshold for quantization of a signal is randomized. An estimator based on quantized signal data can be optimized through stochastic thresholding. ...
Samudra Dasgupta
JMLR
2010
123views more  JMLR 2010»
13 years 3 months ago
Inductive Principles for Restricted Boltzmann Machine Learning
Recent research has seen the proposal of several new inductive principles designed specifically to avoid the problems associated with maximum likelihood learning in models with in...
Benjamin Marlin, Kevin Swersky, Bo Chen, Nando de ...
FOCI
2007
IEEE
14 years 2 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
IJON
2010
119views more  IJON 2010»
13 years 7 months ago
Hyperparameter learning in probabilistic prototype-based models
We present two approaches to extend Robust Soft Learning Vector Quantization (RSLVQ). This algorithm for nearest prototype classification is derived from an explicit cost functio...
Petra Schneider, Michael Biehl, Barbara Hammer