نتایج جستجو برای: cyclic regression

تعداد نتایج: 413986  

Journal: :Journal of reproduction and fertility 1968
A David L Mastroianni

Cyclic variations in the quality of cervical mucus were evaluated in the monkey. A characteristic pattern was observed. On the day before ovulation maximal fern production was noted, with a dramatic regression in fern pattern in the subsequent day. A consistent correlation with changes in vaginal cytology was not observed. Daily examination of fern pattern provides a reliable index for ovulatio...

1998
Vasileios Megalooikonomou Yaacov Yesha

We consider the problem of quantizer design in a distributed estimation system with communication constraints at the channels in the case where the observation statistics are unknown and one must rely on a training set. The method that we propose applies a variation of the Cyclic Generalized Lloyd Algorithm (CGLA) on every point of the training set and then uses a neural network for each quanti...

Journal: :JOOP 1995
David Chenho Kung Jerry Zeyu Gao Pei Hsia Jeremy Lin Yasufumi Toyoshima

Regression testing is an important activity in software maintenance. Although a number of existing research results have addressed the problems and solutions in regression testing of traditional programs, no research results have focused on the issues and solutions in regression testing of object-oriented programs. In this paper, we present a method for identifying the aaected classes when chan...

Journal: :international journal of civil engineering 0
m. reza esfahani

in this paper, the effect of cyclic loading on punching strength of flat slabs strengthened with carbon fiber reinforced polymer (cfrp) sheets is studied. experimental results of ten slab specimens under monotonic and cyclic loading are analyzed. eight specimens were strengthened with cfrp sheets on the tensile face of the slabs and the two other specimens were kept un-strengthened as control s...

2014
Xiaoxia Shi Matthew Shum Wei Song

This paper proposes a new identification and estimation approach to semi-parametric multinomial choice models that easily applies to not only cross-sectional settings but also panel data settings with unobservable fixed effects. Our approach is based on cyclic monotonicity, which is a defining feature of the random utility framework underlying multinomial choice models. From the cyclic monotoni...

Journal: :The journal of the American Academy of Psychiatry and the Law 2005
Lori H Colwell Keith R Cruise Laura S Guy Wendy K McCoy Krissie Fernandez Heather H Ross

Self-report measures of psychosocial maturity and screening measures of achievement and intelligence (Wechsler Abbreviated Scale of Intelligence; WASI) were used to investigate the influence of psychosocial maturity on male juvenile offenders' comprehension and appreciation of the Miranda warning (Grisso's Instruments for Assessing Understanding and Appreciation of Miranda Rights; GUAM). A samp...

2015
Xingguo Li Tuo Zhao Tong Zhang Han Liu

We describe an R package named picasso, which implements a unified framework of pathwise coordinate optimization for a variety of sparse learning problems (Sparse Linear Regression, Sparse Logistic Regression and Sparse Column Inverse Operator), combined with distinct active set identification schemes (truncated cyclic, greedy, randomized and proximal gradient selection). Besides, the package p...

Journal: :Journal of Systems and Software 1996
David Chenho Kung Jerry Zeyu Gao Pei Hsia Yasufumi Toyoshima Chris Chen

Regression testing is an important activity in software maintenance. Although a number of studies have addressed the problems and solutions in regression testing of traditional programs, no studies have focused on the issues and solutions in regression testing of object-oriented programs. In this article, we discuss various types of code changes of classes in an object-oriented program and pres...

2016
Xiaoxia Shi Matthew Shum Wei Song

This paper proposes a new semi-parametric identification and estimation approach to multinomial choice models in a panel data setting with individual fixed effects. Our approach is based on cyclic monotonicity, which is a defining feature of the random utility framework underlying multinomial choice models. From the cyclic monotonicity property, we derive identifying inequalities without requir...

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