github.com/MegaJoctan/MALE5
MegaJoctan/MALE5
Machine Learning repository for MQL5 (⭐ 244)
arxiv.org/abs/2501.14152v1
Multimodal Prescriptive Deep Learning
We introduce a multimodal deep learning framework, Prescriptive Neural Networks (PNNs), that combines ideas from optimization and machine learning, and is, to the best of our knowledge, the first prescriptive method to handle multimodal data. The PNN...
arxiv.org/abs/1707.02575v1
Neural Machine Translation between Herbal Prescriptions and Diseases
The current study applies deep learning to herbalism. Toward the goal, we acquired the de-identified health insurance reimbursements that were claimed in a 10-year period from 2004 to 2013 in the National Health Insurance Database of Taiwan, the tota...
arxiv.org/abs/2103.16685v1
Deep Learning in current Neuroimaging: a multivariate approach with power and ty…
Discriminative analysis in neuroimaging by means of deep/machine learning techniques is usually tested with validation techniques, whereas the associated statistical significance remains largely under-developed due to their computational complexity....
arxiv.org/abs/1808.04345v1
Interactive Launch of 16,000 Microsoft Windows Instances on a Supercomputer
Simulation, machine learning, and data analysis require a wide range of software which can be dependent upon specific operating systems, such as Microsoft Windows. Running this software interactively on massively parallel supercomputers can present m...
en.wikipedia.org/wiki/Power%2FRangers
Power/Rangers - Wikipedia
Russ Bain, Will Yun Lee, and Gichi Gamba. It was released on YouTube and Vimeo on February 23, 2015. After the Machine Empire defeats the Power Rangers
en.wikipedia.org/wiki/Shifting_Gears
Shifting Gears - Wikipedia
Shifting Gears may refer to: Changing gears in controlling a motor vehicle or other machine: see gearbox Spider-Woman: Shifting Gears, a 2015–2017 comic-book
arxiv.org/abs/2508.14667v1
ELATE: Evolutionary Language model for Automated Time-series Engineering
Time-series prediction involves forecasting future values using machine learning models. Feature engineering, whereby existing features are transformed to make new ones, is critical for enhancing model performance, but is often manual and time-intens...
arxiv.org/abs/2306.01181v3
TMI! Finetuned Models Leak Private Information from their Pretraining Data
Transfer learning has become an increasingly popular technique in machine learning as a way to leverage a pretrained model trained for one task to assist with building a finetuned model for a related task. This paradigm has been especially popular fo...
www.reddit.com/r/singularity/comments/1iqw3w6/grok_3_was_finetuned_as_a_right_wing_propaganda/
Grok 3 was finetuned as a right wing propaganda machine
...
en.wikipedia.org/wiki/Fine-tuning_%28deep_learning%29
Fine-tuning (deep learning) - Wikipedia
Python Machine Learning And Neural Networks. Pastor Publishing Ltd. ABHIJEET, SARKAR. Deep Learning Dynamics: The Science Behind AI Training: Exploring
github.com/yanshengjia/ml-road
yanshengjia/ml-road
Machine Learning and Agentic AI Resources, Practice and Research (⭐ 4643)
en.wikipedia.org/wiki/Network_Time_Protocol
Network Time Protocol - Wikipedia
David L. Mills in the IEEE Transactions on Communications. In 1989, RFC 1119 was published defining NTPv2 by means of a state machine, with pseudocode
github.com/haifengl/smile
haifengl/smile
Statistical Machine Intelligence & Learning Engine (⭐ 6346)
arxiv.org/abs/2401.06967v1
NHANES-GCP: Leveraging the Google Cloud Platform and BigQuery ML for reproducibl…
Summary: NHANES, the National Health and Nutrition Examination Survey, is a program of studies led by the Centers for Disease Control and Prevention (CDC) designed to assess the health and nutritional status of adults and children in the United State...
www.bing.com/ck/a?!&&p=731249c6c351dac1138b3f8c1b6eb8de8183e768279a31ebba73b07bb866fac6JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=1792470c-5fad-6685-14a0-501e5e7167aa&u=a1aHR0cHM6Ly9zdXBwb3J0Lmdvb2dsZS5jb20vY2xvdWQvYW5zd2VyLzkxMTMzNjY_aGw9ZW4&ntb=1
BigQuery - Google Cloud Platform Console Help
BigQuery lets you focus on analyzing data to find meaningful insights while using familiar SQL and built-in machine learning at unmatched price-performance. Find BigQuery in the left side menu of the …
en.wikipedia.org/wiki/BigQuery
BigQuery - Wikipedia
Service (PaaS) that supports querying using a dialect of SQL. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and
arxiv.org/abs/1511.05837v1
Using Machine Learning to Predict the Outcome of English County twenty over Cric…
Cricket betting is a multi-billion dollar market. Therefore, there is a strong incentive for models that can predict the outcomes of games and beat the odds provided by bookers. The aim of this study was to investigate to what degree it is possible t...
arxiv.org/abs/2602.16578v1
Creating a digital poet
Can a machine write good poetry? Any positive answer raises fundamental questions about the nature and value of art. We report a seven-month poetry workshop in which a large language model was shaped into a digital poet through iterative in-context e...
en.wikipedia.org/wiki/Infrastructure_as_code
Infrastructure as code - Wikipedia
Infrastructure as code (IaC) is the process of managing and provisioning computer data center resources through machine-readable definition files, rather