Results 1  10
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4,587
Aging: a theory based on free radical and radiation chemistry
 J Gerontol
, 1956
"... The phenomenon of growth, decline and deathaginghas been the source of considerable speculation (1, 8, 10). This cycle seems to be a more or less direct function of the metabolic rate and this in turn depends on the species (animal or plant) on which are superimposed the factors of heredity and ..."
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Cited by 637 (2 self)
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systems. In the first place, free radicals are present in living cells; this was recently demonstrated in vivo by a paramagnetic resonance absorption method (3). Further, it was shown that the concentration of free radicals increased with increasing metabolic activity in conformity with the postu
Loopy belief propagation for approximate inference: An empirical study. In:
 Proceedings of Uncertainty in AI,
, 1999
"... Abstract Recently, researchers have demonstrated that "loopy belief propagation" the use of Pearl's polytree algorithm in a Bayesian network with loops can perform well in the context of errorcorrecting codes. The most dramatic instance of this is the near Shannonlimit performanc ..."
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Cited by 676 (15 self)
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to the correct marginals. However, on the QMR network, the loopy be liefs oscillated and had no obvious relation ship to the correct posteriors. We present some initial investigations into the cause of these oscillations, and show that some sim ple methods of preventing them lead to the wrong results
Productivity loss in brainstorming groups: Toward the solution of a riddle
 Journal of Personality and Social Psychology
, 1987
"... We conducted four experiments to investigate free riding, evaluation apprehension, and production blocking as explanations of the difference in brainstorming productivity typically observed between real and nominal groups. In Experiment 1, we manipulated assessment expectations in group and individu ..."
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Cited by 272 (3 self)
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groups. Finally, by manipulating blocking directly, we determined in Experiment 4 that production blocking accounted for most of the productivity loss of real brainstorming groups. The processes underlying production blocking are discussed, and a motivational interpretation of blocking is offered
Fast Stochastic Alternating Direction Method of Multipliers
"... We propose a new stochastic alternating direction method of multipliers (ADMM) algorithm, which incrementally approximates the full gradient in the linearized ADMM formulation. Besides having a low periteration complexity as existing stochastic ADMM algorithms, it improves the convergence rate ..."
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Cited by 4 (0 self)
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We propose a new stochastic alternating direction method of multipliers (ADMM) algorithm, which incrementally approximates the full gradient in the linearized ADMM formulation. Besides having a low periteration complexity as existing stochastic ADMM algorithms, it improves the convergence rate
Exact optimization for markov random fields with convex priors
 IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2003
"... We introduce a method to solve exactly a first order Markov Random Field optimization problem in more generality than was previously possible. The MRF shall have a prior term that is convex in terms of a linearly ordered label set. The method maps the problem into a minimumcut problem for a direct ..."
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Cited by 216 (3 self)
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We introduce a method to solve exactly a first order Markov Random Field optimization problem in more generality than was previously possible. The MRF shall have a prior term that is convex in terms of a linearly ordered label set. The method maps the problem into a minimumcut problem for a
A comparison of linkage disequilibrium measures for "nescale mapping',
 Genomics,
, 1995
"... studies is difficult because recombinations are rarely Linkage mapping generally localizes disease genes observed even within the large pedigrees that would to 1to 2cM regions of chromosomes. In theory, furbe required for finer mapping of these loci (Boehnke, ther refinement of location can be a ..."
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Cited by 219 (9 self)
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be achieved by popula1994). tionbased studies of linkage disequilibrium between Consequently, it will often be the case that linkage disease locus alleles and alleles at adjacent markers. mapping of disease loci leaves about 1 Mb of DNA to One approach to localization, dubbed simple disequibe searched
Sparse support vector infinite push
 In Proceedings of the 29th International Conference on Machine Learning
, 2012
"... In this paper, we address the problem of embedded feature selection for ranking on top of the list problems. We pose this problem as a regularized empirical risk minimization with pnorm push loss function (p =∞) and sparsity inducing regularizers. We leverage the issues related to this challengi ..."
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Cited by 7 (0 self)
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to this challenging optimization problem by considering an alternating direction method of multipliers algorithm which is built upon proximal operators of the loss function and the regularizer. Our main technical contribution is thus to provide a numerical scheme for computing the infinite push loss function
Polynomial smoothing of time series with additive step discontinuities
 IEEE Trans. Signal Process
, 2012
"... Abstract—This paper addresses the problem of estimating simultaneously a local polynomial signal and an approximately piecewise constant signal from a noisy additive mixture. The approach developed in this paper synthesizes the total variation filter and leastsquare polynomial signal smoothing into ..."
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Cited by 3 (2 self)
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into a unified problem formulation. The method is based on formulating an `1norm regularized inverse problem. A computationally efficient algorithm, based on variable splitting and the alternating direction method of multipliers (ADMM), is presented. Algorithms are derived for both unconstrained
Asynchronous Distributed ADMM for Consensus Optimization
"... Distributed optimization algorithms are highly attractive for solving big data problems. In particular, many machine learning problems can be formulated as the global consensus optimization problem, which can then be solved in a distributed manner by the alternating direction method of multiplier ..."
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Cited by 5 (0 self)
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Distributed optimization algorithms are highly attractive for solving big data problems. In particular, many machine learning problems can be formulated as the global consensus optimization problem, which can then be solved in a distributed manner by the alternating direction method
Selfdetermination and persistence in a reallife setting: Toward a motivational model of high school dropout.
 Journal of Personality and Social Psychology,
, 1997
"... The purpose of this study was to propose and test a motivational model of high school dropout. The model posits that teachers, parents, and the school administration's behaviors toward students influence students' perceptions of competence and autonomy. The less autonomy supportive the so ..."
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Cited by 183 (19 self)
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(see Much research supports this line of reasoning. For instance, controlling behavior from the teacher It is important to emphasize that the motivational model posits that social agents do not influence students' motivation directly. Rather, in line with selfdetermination theory, social agents
Results 1  10
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4,587