نتایج جستجو برای: missing inputs

تعداد نتایج: 126858  

Journal: :Nature Reviews Neuroscience 2018

Journal: :Poultry Science 1990

Journal: :Economics Letters 2012

Journal: :Journal of proteome research 2014
Lydie Lane Amos Bairoch Ronald C Beavis Eric W Deutsch Pascale Gaudet Emma Lundberg Gilbert S Omenn

One year ago the Human Proteome Project (HPP) leadership designated the baseline metrics for the Human Proteome Project to be based on neXtProt with a total of 13,664 proteins validated at protein evidence level 1 (PE1) by mass spectrometry, antibody-capture, Edman sequencing, or 3D structures. Corresponding chromosome-specific data were provided from PeptideAtlas, GPMdb, and Human Protein Atla...

2016
Robin Spiess Richard George Matthew Cook Peter U. Diehl

Despite an abundance of computational models for learning of synaptic weights, there has been relatively little research on structural plasticity, i.e., the creation and elimination of synapses. Especially, it is not clear how structural plasticity works in concert with spike-timing-dependent plasticity (STDP) and what advantages their combination offers. Here we present a fairly large-scale fu...

2014
V. K. Govindan

Chromosome analysis is one of the most essential tasks in clinical research of cell genetics and genetic disease diagnosis. Automatic analysis of chromosomes by computers is very useful but there are many issues yet to address. Karyotyping identifies and displays chromosomes in a standard format. In this paper, a tool has been introduced that identifies abnormal chromosomes. The tool is able to...

2013
Yuancheng Luo Ramani Duraiswami

Gaussian process regression (GPR) is a powerful non-linear technique for Bayesian inference and prediction. One drawback is its O(N) computational complexity for both prediction and hyperparameter estimation for N input points which has led to much work in sparse GPR methods. In case that the covariance function is expressible as a tensor product kernel (TPK) and the inputs form a multidimensio...

2013
Sean Costello Dominique Bonvin

Model-based optimization is an increasingly popular way of determining the values of the degrees of freedom in a process. The difficulty is that the available model is often inaccurate. Iterative set-point optimization, also known as modifier adaptation, overcomes this obstacle by incorporating process measurements into the optimization framework. We extend this technique to optimization proble...

Helia Zare, Mohammad ebrahim Ghaffari, Porousha Mahjoub,

Introduction: Congenital missing of maxillary lateral incisors and mandibular second premolars are one of the most common developmental dental anomalies that can affect patient’s function and aesthetics. The aim of this study was to determine the prevalence and pattern of congenital missing of lateral maxillary teeth and second mandibular premolars in patients referred to the Dental Faculty of ...

2013
Yi Guo Henrietta L Logan Deborah H Glueck Keith E Muller

Many researchers favor repeated measures designs because they allow the detection of within-person change over time and typically have higher statistical power than cross-sectional designs. However, the plethora of inputs needed for repeated measures designs can make sample size selection, a critical step in designing a successful study, difficult. Using a dental pain study as a driving example...

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