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[Applications of eco-environmental big data: Progress and prospect].

Ying yong sheng tai xue bao = The journal of applied ecology
With the advance of internet and wireless communication technology, the fields of ecology and environment have entered a new digital era with the amount of data growing explosively and big data technologies attracting more and more attention. The eco...

Canonical correlation analysis to identify the semen characteristics used to forecast the freeze survival of Curimba (Prochilodus lineatus) spermatozoa.

Cryo letters
UNLABELLED:   OBJECTIVE: To identify which sperm characteristics were able to predict more accurately the quality of curimba (Prochilodus lineatus) semen upon freezing using canonical correlation analysis.

Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data.

Healthcare informatics : the business magazine for information and communication systems
In this paper, we propose the first deep reinforcement learning framework to estimate the optimal Dynamic Treatment Regimes from observational medical data. This framework is more flexible and adaptive for high dimensional action and state spaces tha...

Dependency-based long short term memory network for drug-drug interaction extraction.

BMC bioinformatics
BACKGROUND: Drug-drug interaction extraction (DDI) needs assistance from automated methods to address the explosively increasing biomedical texts. In recent years, deep neural network based models have been developed to address such needs and they ha...

Coupled generative adversarial stacked Auto-encoder: CoGASA.

Neural networks : the official journal of the International Neural Network Society
Coupled Generative Adversarial Network (CoGAN) was recently introduced in order to model a joint distribution of a multi modal dataset. The CoGAN model lacks the capability to handle noisy data as well as it is computationally expensive and inefficie...

Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data.

Neural networks : the official journal of the International Neural Network Society
The scalability of low-rank representation (LRR) to large-scale data is still a major research issue, because it is extremely time-consuming to solve singular value decomposition (SVD) in each optimization iteration especially for large matrices. Sev...

Remote photoplethysmography with constrained ICA using periodicity and chrominance constraints.

Biomedical engineering online
BACKGROUND: Remote photoplethysmography (rPPG) has been in the forefront recently for measuring cardiac pulse rates from live or recorded videos. It finds advantages in scenarios requiring remote monitoring, such as medicine and fitness, where contac...

The convergence analysis of SpikeProp algorithm with smoothing L regularization.

Neural networks : the official journal of the International Neural Network Society
Unlike the first and the second generation artificial neural networks, spiking neural networks (SNNs) model the human brain by incorporating not only synaptic state but also a temporal component into their operating model. However, their intrinsic pr...

Standard errors and confidence intervals for variable importance in random forest regression, classification, and survival.

Statistics in medicine
Random forests are a popular nonparametric tree ensemble procedure with broad applications to data analysis. While its widespread popularity stems from its prediction performance, an equally important feature is that it provides a fully nonparametric...