A test for validating learning hierarchies based on maximum likelihood estimates
نویسندگان
چکیده
منابع مشابه
A maximum likelihood based technique for validating detrended fluctuation analysis (ML-DFA)
Detrended Fluctuation Analysis (DFA) is widely used to assess the presence of long-range temporal correlations in time series. Signals with long-range temporal correlations are typically defined as having a power law decay in their autocorrelation function. The output of DFA is an exponent, which is the slope obtained by linear regression of a log-log fluctuation plot against window size. Howev...
متن کاملExtended Maximum Likelihood vs Maximum Likelihood ; Error Estimates on Quantitative Bayesian Priors
This document updates the analysis of errors found in Tina Memo 2010-008. In particular we show that the errors presented there are exact for EML interpretations of parameter estimates, but only an approximation for conventional Likelihood. The work explains the error model used in Tina Memo 2000-007, for the analysis of distribution of cranial fluid as measured in a volumetric segmentation of ...
متن کاملMaximum Likelihood Competitive Learning
One popular class of unsupervised algorithms are competitive algorithms. In the traditional view of competition, only one competitor, the winner, adapts for any given case. I propose to view competitive adaptation as attempting to fit a blend of simple probability generators (such as gaussians) to a set of data-points. The maximum likelihood fit of a model of this type suggests a "softer" form ...
متن کاملMaximum likelihood estimates of pairwise rearrangement distances.
Accurate estimation of evolutionary distances between taxa is important for many phylogenetic reconstruction methods. Distances can be estimated using a range of different evolutionary models, from single nucleotide polymorphisms to large-scale genome rearrangements. Corresponding corrections for genome rearrangement distances fall into 3 categories: Empirical computational studies, Bayesian/MC...
متن کاملMaximum Likelihood Hebbian Learning Based Retrieval Method for CBR Systems
CBR systems are normally used to assist experts in the resolution of problems. During the last few years researchers have been working in the development of techniques to automate the reasoning stages identified in this methodology. This paper presents a Maximum Likelihood Hebbian Learning-based method that automates the organisation of cases and the retrieval stage of casebased reasoning syste...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Behavior Research Methods & Instrumentation
سال: 1978
ISSN: 1554-351X,1554-3528
DOI: 10.3758/bf03205092