In the last few years, machine learning has achieved a notable momentum that, if properly harnessed, may unleash its potential for advanced analytics and control of smart buildings, enabling the technique to scale up for supporting the decarbonization of the building sector. In this perspective, ...
The main contribution of the paper is that we show such a label propagation scheme can be highly effective when the similarity metric used for propagation is transferred from other related domains. We test various combinations of supervised and unsupervised metric learning methods with various label ...
Psychoactive Substances Bill and Act of New Zealand: A Chance to Engage Undergraduate Scientists with Society using a Transfer Learning Paradigm Our aim was to develop a teaching paradigm that connected undergraduate's neuropharmacological/toxicological knowledge to that of government policy. One go......
Graduate Machine Learning 2. Data Structure (你没看错，我也觉得很离谱。其实我都自学过一遍了，但是...
of deep learning methods, which can process large amounts of raw data, has introduced new possibilities for improving the automated ECG interpretation. Indeed, deep neural networks (DNN) have recently achieved cardiologist-level classification performance4when trained on a large (n = 91,232) data ...
a tailored attention network is designed for the interpretation of nucleotide contributions and higher-level feature learning, generating a sequence description vector. These sequence description vectors are then concatenated into a comprehensive description vector that represents the DNA–pegRNA pair. The do...
Consequently, transfer learning was undertaken using pre-existing Landsat-8 derived burned area reference data to train the U-Net that was then refined with a smaller set of PlanetScope training data. Results across Africa considering 659 PlanetScope radiometrically normalized image pairs sensed one ...
It's been fun. I enjoy learning as I do things like this--your situation presented some challenges to me at my level of Excel understanding. I trust it's working as you want. If not, come back with further questions. 0 Likes Reply 1 best response best response confirmed by HansVoge...
(T)/CBS level of accuracy. Such a high-quality and diverse data set is a first of its kind for training machine learning-based potentials. The resulting general-purpose potential, ANI-1ccx, and data set exceeds the accuracy of DFT in benchmarks for isomerization energies, reaction energies,...
provide excellent designs close to the global optima, even with the addition of a very small dataset corresponding to less than 0.5% of the initial training dataset size. Results Schematic of the forward design framework Fig. 1: Schematic of deep learning framework for material design space ...