Belief Network
Belief Network

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Products and services for "Belief Network"

Image for Conventional Bayesian Belief Network (BBN) - PredictionProbe
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Conventional Bayesian Belief Network (BBN) - PredictionProbe

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7 companies for "Belief Network"

PredictionProbe's Logo

Newport Beach, United States

1-10 Employees

2001

We envision a world made better, safer, and more productive through our advanced innovation and predictive solutions. Through our vast experience applying our tools and technology to a wide array of industries and applications, we have proven that any business in any industry can benefit from the systematic and objective identification of uncertainties by identifying the risks related to process be it human or artificial intelligence. It is with this insight that we envision a world made better, safer, and more productive using our Predictive Solutions. Our vision is simply to be the best at creating, delivering, and servicing Innovative Technology Solutions to trailblazers like you. Nothing is more satisfying to us than helping leaders lead by empowering their teams with game-changing technology.

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Image for Conventional Bayesian Belief Network (BBN) - PredictionProbe

Conventional Bayesian Belief Network (BBN) - PredictionProbe

... Conventional Bayesian Belief Network (BBN) - ...

Artificial Learning's Logo

London, United Kingdom

1-10 Employees

2012

Artificial Learning Ltd is working with leading UK universities to embody proven machine learning algorithms in ASICs (application-specific integrated circuits). Our focus is on developing ultra-efficient, highly-scalable devices for machine learning tasks in mobile autonomous systems. Our business strategy comprises disruptive innovation through synthesis of titan, cutting-edge advances in machine-learning theory and VLSI technology. Our market strategy made the most-voted list front page in Technology Entrepreneurship 2013 at Stanford University. Follow us with the buttons to the right. To see everyone involved in our venture, please see our research group web pages. Established 2012. Company No. 08168963 registered in England & Wales. We comply with the UK Data Protection Act.

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Image for Machine Learning on a Chip | Artificial Learning

Machine Learning on a Chip | Artificial Learning

... Restricted Boltzmann Machines and Deep Belief Networks ...

Global Evangelistic Network E. V.'s Logo

Meissen, Germany

Global Evangelistic Network was founded in 2002 with the purpose of spreading the life changing message of Jesus Christ worldwide. Evangelist Daniel Schott has been the president of GEN since the beginning. Before founding GEN, Evangelist Schott was already preparing intensively for the ministry and had his first evangelistic ministry experiences in English speaking countries. During a Gospel meeting in Kenya, the same year, God gave Daniel a breakthrough into the supernatural. Since then, his ministry is accompanied by miracles, signs, and wonders.

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Image for Global Evangelistic Network - Our Beliefs

Global Evangelistic Network - Our Beliefs

... Global Evangelistic Network - Our Beliefs ...

Enfection's Logo

Colombo, Sri Lanka

11-50 Employees

2017

Change-ready: from traditional brick & mortar to digital. Increase user engagement with mobile responsive EDM development. Use of a hybrid strategy to engage with core audience. Creating awareness and increased engagement among healthcare professionals and general public through digital channels. Positioning corporate branding digitally whilst driving the sales pipeline.

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Core business
Image for Marketing Transformation Company

Marketing Transformation Company

... Our purpose is to create value for our belief network, for their brands and their customers. ...

FaceChk's Logo

New Delhi, India

51-100 Employees

1989

FaceChk as the name suggests is an intelligence system that can read and identify Face & retina. We identified that Face, Speed and accuracy are the future and our system gives all these. FaceChk is an organization working towards a contactless (or touchless) system. Facechk’s unique face recognition technology leverages deep learning & AI incorporating several custom algorithms to provide high accuracy and portability across a variety of inexpensive devices such as low-cost cameras, smartphones & NPU (Neural Processing Unit) devices. The technology has been benchmarked with the world’s best and has proven to be one of the most accurate in a global open challenge.

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Image for Technology - Face Recognition Solutions :: Contactless Biometrics System

Technology - Face Recognition Solutions :: Contactless Biometrics System

... TECHNOLOGY Heart of FaceChk Deep Learning Inspired by nervous systems DNN, CNN, DBN, RNN, LSTM Semi, Fully, Un-Supervised Deep Belief Networks Deep Boltzman Machines Micro- ...

GLOBAL SERVICE NETWORK INC's Logo

Apex, United States

1-10 Employees

Global Service Network was launched in 2007 by four missionaries whose combined ministry experience totals over 70 years. The founders recognized a need to form an administrative structure as they developed a ministry to those living in restricted-access countries. They did not imagine the network would grow and expand globally, encompassing a wide range of mission endeavors. GSN is a 501c3 nonprofit organization and a member of ECFA (Evangelical Council for Financial Accountability). The vision of Global Service Network is rooted in Jesus’ command, “…The harvest is plentiful but the workers are few.

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Image for Our Beliefs - Global Service Network

Our Beliefs - Global Service Network

... Our Beliefs - Global Service Network ...

Cogility's Logo

Providence, United States

11-50 Employees

2003

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Image for Technology | Cogility

Technology | Cogility

... Bayesian Belief Network ...

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„Belief Network“

Belief networks are probabilistic graphical models which combine a directed acyclic graph (DAG) and Bayesian logic. They are used to represent the dependencies between random variables and calculate the probability of certain events occurring. The DAG contains a set of nodes which represent the variables, and edges that indicate the relationships between the variables. The Bayesian logic is used to assign probabilities to each of the nodes and edges which can be used to calculate the probability of certain events.