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Statistical Mechanics of the Mixture of Experts

Kukjin Kang, Jong-Hoon Oh
1996 Neural Information Processing Systems  
We also find that the mixture of experts with multiple level of hierarchy shows multiple phase transitions.  ...  We study generalization capability of the mixture of experts learning from examples generated by another network with the same architecture.  ...  This work was partially supported by the Basic Science Special Program of the POSTECH Basic Science Research Institute.  ... 
dblp:conf/nips/KangO96 fatcat:l25mrq6ctvcjtggq2lijktlsou

Learning an intelligibility map of individual utterances

Michael I. Mandel
2013 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics  
The important regions identified by the model in these tests agreed with those identified by a standard, non-predictive statistical test of independence and with the acoustic phonetics literature.  ...  The analysis learns a map of the importance of each point in the recording's spectrogram to the overall intelligibility of the word when glimpsed through "bubbles" in many noise instances.  ...  Figure 2 shows the statistical intelligibility maps for the expert and mechanical Turk listeners on the hVd utterances, which are very similar.  ... 
doi:10.1109/waspaa.2013.6701835 dblp:conf/waspaa/Mandel13 fatcat:qtn33q65orgyplyq2cezjzwnli

P1-12 Detecting differences between treatments in critical care trials using mixtures of parametric survival distributions

W. Checkley, R. Brower, A. Munoz
2011 Journal of Epidemiology and Community Health  
We report the development of a scale that may clarify the relative importance of the effects of these cognitive mechanisms for health outcomes.  ...  Methods Successive versions of the instrument were developed based on a systematic review of racial discrimination scales, focus groups and an evaluation by a panel of experts.  ...  We report the development of a scale that may clarify the relative importance of the effects of these cognitive mechanisms for health outcomes.  ... 
doi:10.1136/jech.2011.142976c.6 fatcat:pfdedw3xhvcuri2ommds5dsnlq

Page 339 of Neural Computation Vol. 6, Issue 2 [page]

1994 Neural Computation  
Adaptive mixtures of local experts. Neural Comp. 3, 79-87. Jordan, M. I., and Jacobs, R. A. 1993. Hierarchical mixtures of experts and the EM algorithm.  ...  Statistical mechanics as the underlying theory of “elastic” and “neural” optimization. NETWORK: Comp. Neural Syst. 1(1), 1-15. Stolorz, P. 1991.  ... 

Hierachical intelligent optimization blending system based on production indices for lead-zinc sintering process

Wang Ya-lin, Yang Chun-hua, Gui Wei-hua, Ling Xiang
2008 IFAC Proceedings Volumes  
Considering the relations between the mixture ratio and the production indices, an intelligent integrated model is firstly constructed to predict agglomerate compositions, which consists of Expertiseand-Mechanism-based  ...  Based on the composition prediction model and reasoning rules for mixture ratio modification, a hierachical intelligent optimization strategy with expert reasoning is proposed to determine an optimal mixture  ...  of mechanism modelling, neural networks, fuzzy classification and expert reasoning method.  ... 
doi:10.3182/20080706-5-kr-1001.00558 fatcat:jafgqyt75zce7a267753tbptke

Learning an evolved mixture model for task-free continual learning [article]

Fei Ye, Adrian G. Bors
2022 arXiv   pre-print
We implement this expansion mechanism by evaluating the probability distance between the knowledge stored in each mixture model component and the current memory buffer using the Hilbert Schmidt Independence  ...  To address TFCL, we introduce an evolved mixture model whose network architecture is dynamically expanded to adapt to the data distribution shift.  ...  The subscript K represents the index of the expert in the mixture model.  ... 
arXiv:2207.05080v1 fatcat:l77bjai5gzfwbjktwpmsljtpqa

Towards a Universal Gating Network for Mixtures of Experts [article]

Chen Wen Kang, Chua Meng Hong, Tomas Maul
2020 arXiv   pre-print
mixtures of experts in a data-free regime.  ...  The combination and aggregation of knowledge from multiple neural networks can be commonly seen in the form of mixtures of experts.  ...  The mixtures of experts (MEs) approach is more in line with our work.  ... 
arXiv:2011.01613v1 fatcat:4pbgi74ghreobm7xlhrsnlq5dm

P1-10 Development and psychometric properties of a scale to measure health effects of discrimination

J. Bastos, E. Faerstein, R. Celeste, A. Barros
2011 Journal of Epidemiology and Community Health  
We report the development of a scale that may clarify the relative importance of the effects of these cognitive mechanisms for health outcomes.  ...  Methods Successive versions of the instrument were developed based on a systematic review of racial discrimination scales, focus groups and an evaluation by a panel of experts.  ...  We report the development of a scale that may clarify the relative importance of the effects of these cognitive mechanisms for health outcomes.  ... 
doi:10.1136/jech.2011.142976c.5 fatcat:24zigqg4mffj5kzfp2rozax7ny

P1-13 Meat intake and urinary tract tumours risk assessment through promoting latent variables models

S. E. Munoz, M. D. Roman, A. Navarro, L. R. Aballay, M. del P Diaz
2011 Journal of Epidemiology and Community Health  
We report the development of a scale that may clarify the relative importance of the effects of these cognitive mechanisms for health outcomes.  ...  Methods Successive versions of the instrument were developed based on a systematic review of racial discrimination scales, focus groups and an evaluation by a panel of experts.  ...  We report the development of a scale that may clarify the relative importance of the effects of these cognitive mechanisms for health outcomes.  ... 
doi:10.1136/jech.2011.142976c.7 fatcat:unnqz3uuzzdjdcisf4itcpec4m

Sensitivity analysis within multiple imputation framework using delta-adjustment: Application to Longitudinal Study of Australian Children

Panteha Hayati Rezvan, Katherine J. Lee, Julie A. Simpson
2018 Longitudinal and life course studies  
We elicited the sensitivity parameters for the outcome ( ) and exposure ( ) variables from a panel of experts.  ...  Multiple imputation (MI) is a powerful statistical method for handling missing data.  ...  Methods Pattern-mixture models In brief, within the pattern-mixture modelling framework, the incomplete data are modelled conditional on the missingness mechanism (i.e. the response pattern).  ... 
doi:10.14301/llcs.v9i3.503 fatcat:p3csv3dn2bhwtimmkkxj26u7we

Exploration of Computational Approaches to Predict the Toxicity of Chemical Mixtures

Supratik Kar, Jerzy Leszczynski
2019 Toxics  
Most importantly, the nature of toxicity of these studied mixtures is completely different to the single components, which makes the toxicity evaluation of mixtures more critical and challenging.  ...  In many cases, the mechanism behind the toxicity from species to species can be understood by in silico methods.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/toxics7010015 pmid:30893892 pmcid:PMC6468900 fatcat:7cfh2plr3zewjk4a5l2edhriz4

DNA transfer: informed judgment or mere guesswork?

Christophe Champod
2013 Frontiers in Genetics  
persistence mechanisms of DNA was not sufficient for experts to have been able to express an evaluation of the relative merit of the alleged activities.  ...  The expressed opinion could be the expression of nothing more than the ipse dixit of the expert.  ...  scientifique, Switzerland, there has been no conflict of interest during the review and handling of this manuscript.  ... 
doi:10.3389/fgene.2013.00300 pmid:24400019 pmcid:PMC3872334 fatcat:ignpyicwmnbttbgvxxclhubery

Comparison of Ensemble Approaches: Mixture of Experts and AdaBoost for a Regression Problem [chapter]

Tadeusz Lasota, Bartosz Londzin, Zbigniew Telec, Bogdan Trawiński
2014 Lecture Notes in Computer Science  
Two machine learning approaches: mixture of experts and AdaBoost.R2 were adjusted to the real-world regression problem of predicting the prices of residential premises based on historical data of sales  ...  No statistically significant differences were observed among the best ensembles: two generated by mixture of experts and two by AdaBoost.R2 employing multilayer perceptrons and general linear models as  ...  This paper was partially supported by the "Młoda Kadra" funds of the Wrocław University of Technology, Poland and the Polish National Science Centre under grant no. N N516 483840.  ... 
doi:10.1007/978-3-319-05458-2_11 fatcat:no7adfhufjcbdgn4c3xmpsj5vy

Elicitation by design in ecology: using expert opinion to inform priors for Bayesian statistical models

Samantha Low Choy, Rebecca O'Leary, Kerrie Mengersen
2009 Ecology  
In this paper we outline a framework for statistical design of expert elicitation processes for quantifying such expert knowledge, in a form suitable for input as prior information into Bayesian models  ...  We identify six key elements: determining the purpose and motivation for using prior information; specifying the relevant expert knowledge available; formulating the statistical model; designing effective  ...  In our experience (A-C), expert panels were used either as the mechanism for implementing the elicitation (A and B) or as the mechanism for identifying and enlisting experts (C).  ... 
doi:10.1890/07-1886.1 pmid:19294931 fatcat:wczr65yrwzbepf5moqa3klau7u

Modeling abundance usingN-mixture models: the importance of considering ecological mechanisms

Liana N. Joseph, Ché Elkin, Tara G. Martin, Hugh P. Possingham
2009 Ecological Applications  
The zero-inflated Poisson variant is preferable to the negative binomial variants of the N-mixture, as it models an ecological mechanism rather than a statistical phenomenon and generates reasonable parameter  ...  Specifically, we assess the statistical fit with AIC and assess the ecological realism by comparing the parameter estimates with expected values derived from literature, ecological theory, and expert opinion  ...  Statistical models like the negative binomial variants of the N mixture, that model statistic properties of data and not ecological mechanisms, are susceptible to unexpected and erroneous parameter estimation  ... 
doi:10.1890/07-2107.1 pmid:19425427 fatcat:q742zkcepnc2naao25tbz7xfdq
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