<p>The plot is for the prediction task of the S350 dataset. The linear fit for GBT prediction [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1005690#pcbi.1005690.ref060" target="_blank">60</a>] is <i>y</i> = 0.603<i>x</i> − 0.435 and for TNet-MP-2, <i>y</i> = 0.657<i>x</i> − 0.422.</p
a. Bars indicate average performance of models across repeats and error bars denote the correspondin...
International audienceThis paper deals with methods for finding the suitable weights in an Artificia...
(a) Error levels of ML predicted bandgaps (b) Fitness between predicted bandgaps and true bandgaps o...
In a deregulating power market, bidding decisions rely on good market clearing price predictions. On...
The y value is the mean average error from NCNN model on each target gene; the x value is the mean a...
The y value is the mean average error from NCNN model on each target gene; the x value is the mean a...
The XGBoost models were trained on 10k SNPs for standing height and eBMD, 5k SNPs for psoriasis and ...
<p>We compared edge prediction performance between active and random learners, summarized over five ...
The analysis of a time series is a problem well known to statisticians. Neural networks form the bas...
At the beginning the twenty-first century, a lot of high-level methods have become available in geo...
(a) Firing rates for an example neuron. The recorded firing rate (shaded, gray), is shown along with...
<p>Each boxplot illustrates the average accuracies for 20 replicates of the CV procedure using GBLUP...
<p>Training data set scale ranges from 40 to 90 sequences. (A) Maximum and minimum <i>SSE</i> values...
Intelligent modeling techniques have evolved from the application field, where prior knowledge and c...
<p>Neuroscience has long focused on finding encoding models that effectively ask “what predicts neur...
a. Bars indicate average performance of models across repeats and error bars denote the correspondin...
International audienceThis paper deals with methods for finding the suitable weights in an Artificia...
(a) Error levels of ML predicted bandgaps (b) Fitness between predicted bandgaps and true bandgaps o...
In a deregulating power market, bidding decisions rely on good market clearing price predictions. On...
The y value is the mean average error from NCNN model on each target gene; the x value is the mean a...
The y value is the mean average error from NCNN model on each target gene; the x value is the mean a...
The XGBoost models were trained on 10k SNPs for standing height and eBMD, 5k SNPs for psoriasis and ...
<p>We compared edge prediction performance between active and random learners, summarized over five ...
The analysis of a time series is a problem well known to statisticians. Neural networks form the bas...
At the beginning the twenty-first century, a lot of high-level methods have become available in geo...
(a) Firing rates for an example neuron. The recorded firing rate (shaded, gray), is shown along with...
<p>Each boxplot illustrates the average accuracies for 20 replicates of the CV procedure using GBLUP...
<p>Training data set scale ranges from 40 to 90 sequences. (A) Maximum and minimum <i>SSE</i> values...
Intelligent modeling techniques have evolved from the application field, where prior knowledge and c...
<p>Neuroscience has long focused on finding encoding models that effectively ask “what predicts neur...
a. Bars indicate average performance of models across repeats and error bars denote the correspondin...
International audienceThis paper deals with methods for finding the suitable weights in an Artificia...
(a) Error levels of ML predicted bandgaps (b) Fitness between predicted bandgaps and true bandgaps o...
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