Random forest

Forecasting euro area inflation with machine-learning models

Retrieved on: 
onsdag, januari 3, 2024
Medeiros, Chapter Two, Forecasting, Economy, Inflation, Linearity, Directorate, Uncertainty, Machine learning, Coronavirus, Chart, Travel, Information, HICP, NBER, Economics, Business, Random forest, Prevalence, Speech, Unemployment, SPF, Eurozone, Journal, Giannone, EDS, QRF, Central bank, Business cycle, Linear model, Great Recession, European Central Bank, American Economic Journal, Time, Shapley, ECB, Economic statistics, Euro, Policy, Macroeconomics, Global recession, Nickel, Role, COVID-19, International Economic Review, Orientation, Canadian International Council, Conceptual model, Textile

The strategy review concluded in 2021 highlighted how most Eurosystem models used to forecast inflation are linear.

Key Points: 
  • The strategy review concluded in 2021 highlighted how most Eurosystem models used to forecast inflation are linear.
  • Linear models assume that changes in, for example, wages, always have the same fixed, proportional effect on inflation.

Machine learning algorithm applied in classifying tic from non-tic movements

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söndag, augusti 27, 2023
Becker, Tic, University, Classification, Disease, Random forest, Movement, Data, Patient, Machine learning, Parkinson's disease, Neurology, International Congress on Tuberculosis, Medical imaging, Video game

COPENHAGEN, Denmark, Aug. 27, 2023 /PRNewswire-PRWeb/ -- Machine learning is a promising tool for detecting and distinguishing tics from extra movements, according to a study released today at the International Congress of Parkinson's Disease and Movement Disorders® in Copenhagen, Denmark.

Key Points: 
  • With machine learning technology, researchers could potentially reduce time spent analyzing video recordings of people with tic disorders.
  • The study by Becker and colleagues used a dataset of 63 videos of people with tic disorders to train a Random Forest classifier to identify tic movements.
  • Various predictable features were combined into a single detection tic score and trained using videos from both people with tic disorders and healthy controls.
  • This study applies machine learning to train an algorithm that classifies tics from non-tic extra movements and measures several parameters detailing the temporal distribution of tics, ultimately combining these into a single tic detection score.

WiMi to Design A Hybrid BCI-Based Humanoid Control System

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fredag, juni 23, 2023
Cloud, Holography, Suitability analysis, Augmented reality, Evoked potential, BCI, WIMI, Disability, EOG, NIRS, EMG, Support, SSVEP, Brain, Rehabilitation, Attention, Research, ERD, SVM, Random forest, Signal, Acquisition, Machine learning, EEG, Algorithm, Support vector machine, NIR, AR, Medical imaging, Instrumentation, Satellite navigation device, Video game, Electromyography, Electrooculography

BEIJING, June 23, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it had made significant progress in the field by developing a humanoid control system based on hybrid signals BCI.

Key Points: 
  • BEIJING, June 23, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it had made significant progress in the field by developing a humanoid control system based on hybrid signals BCI.
  • Finally, the decoding results are mapped to the humanoid robot control to realize the power of the humanoid robot.
  • Finally, the humanoid control system based on hybrid BCI technology can achieve more natural and precise control, which can be applied to many fields, such as the robot and disabled assistance.
  • The humanoid control system also has good applicability and operability and can be adapted to the needs and characteristics of different users.

WiMi Releases A Highly Reliable Silent Speech Recognition System Based on Multi-featured Signal Sensing Technology

Retrieved on: 
tisdag, april 25, 2023
Cloud, Holography, Augmented reality, SSR, Fasciculation, Speech, WIMI, Deep learning, EMG, CNN Philippines, Human, Brain, Language, Hidden Markov model, VR, Random forest, Machine learning, Reading, Nearest-neighbor chain algorithm, Support vector machine, AR, Environment, Satellite navigation device

BEIJING, April 25, 2023 /PRNewswire/––WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today disclosed a highly reliable silent speech recognition system based on multi-featured signal perception technology.

Key Points: 
  • BEIJING, April 25, 2023 /PRNewswire/––WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today disclosed a highly reliable silent speech recognition system based on multi-featured signal perception technology.
  • The system can convert electrical signals from body or laryngeal vocal cord movements into speech through silent reading or body movement recognition.
  • Therefore, WiMi developed this system to enable silent speech recognition by using limb movements or facial electromyography in a holographic AR environment.
  • WiMi expects that this system will contribute to the further development of speech recognition technology and provide new ideas and methods for speech recognition.

Crypto Arbitrage Platform CAT Generates More Than 60MM Dollars in Profit

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tisdag, oktober 25, 2022
Crypto, Bitcoin, Method, Naive Bayes classifier, Growth, Goldman Sachs, Random forest, Cat communication, CEO, Social media, Support-vector machine, K-nearest neighbors algorithm, Gradient, CAT, Black Rock, Algorithm, Cryptocurrency, BRICS

LONDON, Oct. 25, 2022 /PRNewswire/ -- Is this the new competitor to the goliaths of the financial world? Crypto arbitrage is a market where high speed and precision dictate whether you make billions, or lose it all. Previously only achievable by monopolist funds like Blackrock and Goldman Sachs, CAT is bringing this opportunity to the masses.

Key Points: 
  • CAT (Crypto Arbitrage Team), the innovative crypto-optimised trading platform, has released afinancial report showing how the team of anonymous traders generated more than $60MM yield for retail clients.
  • This September, CAT generated the highest earnings in the shortest possible time $60MM, using modified arbitrage bundles and trading strategies.
  • It is apparent that high volatility in the crypto market means that there are more crypto arbitrage opportunities.
  • CAT (Crypto Arbitrage Team) is a first-of-its-kind, innovative platform of the largest crypto arbitrage team in the BRICS regions that allows its users to build their wealth with crypto arbitrage.

Data Science in Legal Operations Research Paper: "Detecting Anomalous Invoice Line Items in the Legal Case Lifecycle"

Retrieved on: 
torsdag, maj 5, 2022
Singular, T-distributed stochastic neighbor embedding, Random forest, Anomaly, Chronology, Konstantinou, Algorithm, SVD, SVM, Support-vector machine, Paper, Legal Case, Review, SME, Compliance, Knowledge, NetApp, Corporation, UTBMS, Achievement, Data mining, Conference, Technology, VP, Research, Head, DBSCAN, AI, Support, Bookkeeping, Medical device, Surveying, Risk management, Expedia

NEWPORT BEACH, Calif., May 5, 2022 /PRNewswire-PRWeb/ -- InfiniGlobe Research Lab, a division of InfiniGlobe LLC, a legal software and consulting company, published an innovative research paper that explores how Machine Learning models can be trained on historical and synthetic invoice data to produce algorithms that detect anomalies in invoices, improve accuracy, and reduce the human effort and cost of invoice review.

Key Points: 
  • "Detecting Anomalous Invoice Line Items in the Legal Case Lifecycle", published 2020, (rev.
  • The video presentation of the paper and research is available here and an open-access copy of the paper is available here .
  • Subsequently, DBSCAN clustering was employed to select data that could be used to generate labeled synthetic data for model training.
  • InfiniGlobe Research Lab has hinted they have other research plans in the work and invite innovators to join them in advancing legal through tech.

HealthWorksAI™ Unveils the First Healthcare Data Platform using xAI technology

Retrieved on: 
tisdag, december 28, 2021
BOCA, CMS, Data mining, Artificial neural network, Classification, Partnership, Health care, Xai, Industry, Technology, Centers for Medicare & Medicaid Services, HCI, LIME, Center, Shreya, Random forest, Medicare

BOCA RATON, Fla., Dec. 28, 2021 /PRNewswire/ -- HealthWorksAI, an industry-leading Healthcare analytics company, announces the launch of the 2nd generation of their state-of-the-art xAI program.

Key Points: 
  • BOCA RATON, Fla., Dec. 28, 2021 /PRNewswire/ -- HealthWorksAI, an industry-leading Healthcare analytics company, announces the launch of the 2nd generation of their state-of-the-art xAI program.
  • HealthWorksAI Unveils the First Healthcare Data Platform using xAI technology.
  • The xAI program, released in early 2021, has been a huge success for HealthWorksAI, leading as their most subscribed platform module in its first year.
  • "We're excited to announce the expansion of our xAI program for MA Payors," noted Jereme Ayers, Chief Growth Officer of HealthWorksAI.

The 2nd APEC Cross-Border E-Commerce Training Workshop Concluded Successfully

Retrieved on: 
söndag, september 26, 2021
Professional Services, Education, Online Retail, Retail, Finance, Training, People, Software as a service, China Construction Bank, GBDT, Attention, Economy, Internet, Policy, Ministry, World Economic Forum, CBET, Artificial intelligence, International trade, Efficiency, Multimedia, Random forest, MSME-Champions, African, Marketing, CEO, APEC, Growth, Commerce, Founder, COVID-19, DHgate.com, Department, Ministry of Trade and Industry, Industry, Republic, Association, Poverty, Online shopping, Warehouse

The 2nd APEC Cross-Border E-Commerce Training Workshop (APEC CBET II), hosted by Ministry of Commerce, People's Republic of China, supported by DHgate, Hong Kong, China, Indonesia, Peru, and Russia co-sponsoring, was successfully concluded in Beijing.

Key Points: 
  • The 2nd APEC Cross-Border E-Commerce Training Workshop (APEC CBET II), hosted by Ministry of Commerce, People's Republic of China, supported by DHgate, Hong Kong, China, Indonesia, Peru, and Russia co-sponsoring, was successfully concluded in Beijing.
  • View the full release here: https://www.businesswire.com/news/home/20210926005036/en/
    The 2nd APEC Cross-Border E-Commerce Training Workshop was successfully concluded in Beijing.
  • Mr. Billy Deng, Vice President of DHgate, said at the APEC CBET II, "The pandemic-driven e-commerce boom has accelerated the growth of social e-commerce.
  • The project was launched by Ms. Diane Wang who is the Founder, Chairperson and CEO of DHgate at the APEC ministerial meeting in Bali.