Technical University Dresden (TU Dresden) Reports Findings in Machine Learning (Are electrophysiological correlates of response inhibition linked to impulsivity and compulsivity? A machine-learning analysis of a Go/Nogo task)By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily\n...
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news originatingfrom Dresden, Germany, by NewsRx correspondents, research stated, "Multi-Material Jetting (MMJ) isan additive manufactur...
Kai Heinrich, Scientific Assistant, TU Dresden, Germany Radhakrishnan Delhibabu, Associate Professor, Kazan Federal University, Russia Keywords Game Theory, Web Mining, Mechanism Design, Behavioral Science, Machine Learning, Business Intelligence, Data Mining, Experimental Economics, Complex Networks, Economet...
Deep-learning models that learn a sense of language on DNA have achieved a high level of performance on genome biological tasks. Genome sequences follow rules similar to natural language but are distinct in the absence of a concept of words. We established byte-pair encoding on the human genom...
Therefore, we have adopted the manifold-based unsupervised machine learning algorithms (LE, ISO, and ncISO) in order to extend the coalescent embedding to the three-dimensional hyperbolic space. After the pre-weighting step, the nonlinear dimension reduction is performed using an additional dimension...
Deep learning may be enhanced and explained thanks to DarwinAI's Generative Synthesis 'AI building AI' technology. Details of the startup: Country: Canada State: Ontario City: Waterloo Started in: 2017 Founders: Alexander Wong, Arif Virani, Brendan Chwyl, Francis Li, Mohammad Javad Shafiee, Moh...
python benchmarks/lm/train.py --data=/path/to/data --scratch=/your/scratch/directory/Experiments --dataset=PTB --epochs=1000 --batch_size=64 --rnn_type=egru --layer=3 --bptt=70 --scheduler=cosine --weight_decay=0.10 --learning_rate=0.0012 --learning_rate_thresholds 0.0 --...
*Machine Learning for Urban Sensor Data* (SenseML 2015) https://www.tk.informatik.tu-darmstadt.de/en/senseml-2015/ Nov. 1, 2015 - Seoul, Korea *** Paper submission deadline: Friday, July 31th, 2015 *** --- Over a decade, sensor research has proven the use of sensor networks for...
Computer Vision 1 Carsten Rother (TU Dresden): Computer Vision 2 Carsten Rother (TU Dresden): Multiple View Geometry Daniel Cremers (TU Munich):深度学习Github link1、https://github.com/ChristosChristofidis/awesome-deep-learning2、https://github.com/endymecy/awesome-deeplearning-resources机器...
Here, we propose a novel method, based on the Bayesian coupling of mathematical modeling and machine learning, aiming at improving individualized predictions by addressing the aforementioned challenges. Results We evaluate the proposed method on a synthetic dataset for brain tumor growth and analyze its...