
ContaminatedMixt
 Referenced in 16 articles
[sw21014]
 implemented to introduce parsimony. The expectationconditional maximization algorithm is adopted to obtain maximum likelihood...

MSFA
 Referenced in 3 articles
[sw32123]
 specific factors. We develop an Expectation ConditionalMaximization algorithm for parameter estimates and we provide...

PROC NLMIXED
 Referenced in 68 articles
[sw11039]
 PROC NLMIXED enables you to specify a conditional distribution for your data (given the random ... PROC NLMIXED fits nonlinear mixed models by maximizing an approximation to the likelihood integrated over...

IBAL
 Referenced in 27 articles
[sw08945]
 conditioning on the observations. IBAL also integrates Bayesian parameter estimation and decisiontheoretic utility maximization thoroughly...

EDISA
 Referenced in 2 articles
[sw30026]
 subsequent extension step ensures gene and condition maximality. We applied the algorithm to a synthetic ... genes which are coregulated under several conditions, yet with a different response pattern under...

DPpackage
 Referenced in 69 articles
[sw10495]
 Currently, DPpackage includes models for marginal and conditional density estimation, receiver operating characteristic curve analysis ... general purpose Metropolis sampling algorithm. To maximize computational efficiency, the actual sampling for each model...

FPgrowth
 Referenced in 3 articles
[sw33196]
 supports filtering for closed and maximal item sets with conditional item set repositories as suggested...

SNESIM
 Referenced in 7 articles
[sw13366]
 conditioning data search neighborhood. Thus, two improvements are proposed to maximize the ratio of informed...

DASSOC
 Referenced in 8 articles
[sw27806]
 cell probabilities and conditional probabilities are unaffected. Given this observation, maximum likelihood estimation ... accomplished by unconstrained maximization of an objective function with two components: a loglikelihood ratio...

BiMine+
 Referenced in 1 article
[sw26971]
 genes which are coherent with maximal groups of conditions. In this paper, we propose...

MIXMAX
 Referenced in 6 articles
[sw29765]
 matrix random number generators. Under wellknown conditions, these discretetime dynamical systems have ... solution to the problem of determining the maximal period of unimodular matrix generators of pseudo ... numbers. We formulate the necessary and sufficient condition to attain the maximum period and present...

REVEAL
 Referenced in 28 articles
[sw36999]
 disease, we seek computational methods to maximize functional inference from such large data sets ... problem to be tractable within the conditions tested so far. For n = 50 (elements...

RegEM
 Referenced in 18 articles
[sw04943]
 RegEM: Regularized Expectation Maximization The modules implement the regularized EM algorithm described in T. Schneider ... algorithm, a regularized estimation method replaces the conditional maximum likelihood estimation of regression parameters...

CHaMP
 Referenced in 1 article
[sw39356]
 have been chosen to maximize the contrast in current habitat conditions and also represent...

saemix
 Referenced in 2 articles
[sw08851]
 Maximization (SAEM) algorithm,  provides standard errors for the maximum likelihood estimator  estimates the conditional modes...

acepack
 Referenced in 2 articles
[sw32424]
 Alternative Conditional Expectations (ACE), is an algorithm to find the fixed point of maximal correlation...

METRADE
 Referenced in 1 article
[sw28181]
 metabolism. To measure adaptability to changing environmental conditions and over time, we develop a multi ... through concurrent maximization or minimization of multiple metabolic markers. In the condition space, we propose...

SSPTSmethods
 Referenced in 7 articles
[sw38981]
 formulation. In this work we demonstrate sufficient conditions for an explicit twoderivative multistage method ... methods. We also prove that the maximal order of SSPTS methods...

DeepTest
 Referenced in 1 article
[sw41849]
 driving conditions like rain, fog, lighting conditions, etc. DeepTest systematically explores different parts ... logic by generating test inputs that maximize the numbers of activated neurons. DeepTest found thousands ... erroneous behaviors under different realistic driving conditions (e.g., blurring, rain, fog, etc.) many of which...

gmr
 Referenced in 1 article
[sw38775]
 through expectation maximization (Dempster et al., 1977) and then compute the conditional distri bution...