Bayesian Feed Filter Progress on the JISC rapid innovation project to create a Bayesian Feed Filter.
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Institute for Computer Based Learning. Aims to enhance learning and scholarship through new technology. We involve users and stakeholders to build useful pragmatic tools for real world learning contexts. We design and develop innovative technological solutions to enhance scholarship and education. We research standards for interoperability, sharing and reuse to enhance teaching, learning and research.
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The site had the following in the homepage, "One of the aims of the Bayesian Feed Filter Project was to test the ability of the recommender service to identify new journal papers of interest to researchers based on a knowledge of papers which they have recently read." I noticed that the web site stated " The recommender service used was sux0r." They also stated " A blogging package, an RSS aggregator, a bookmark repository, and a photo publishing platform with a focus on Naive Bayesian categorization and probabilistic content . Which was used to create pe."ANALYZE MORE BUSINESSES
Economics, global development,current affairs, globalization, culture and more rants on the dismal science, and the society. Thanks! Monday, December 5, 2011. When you want to get good at something, how you spend your time practicing is far more important than the amount of time you spend.
Favorite essays available on the web. That I coordinated from 1999 through 2009. I blogged at Overcoming Bias. When it was a group blog. I used to write a few more personal messages on livejournal. I have an automated market maker.
We specialize in building Open Universe Probability Models for various domains. We are also developing a probabilistic programming language to help other people write their own models. Fusion of Seismic and Hydro-Acoustic Propagation. A Fusion Model of Seismic and Hydro-Acoustic Propagation for Treaty Monitoring. A Probabilistic Model of Global-Scale Seismology with Veith-Clawson Amplitude Corrections. 2018 Bayesian Logic, Inc.
Simple examples of Bayesian Networks and Markov Processes with applications within Agriculture. Friday, January 25, 2008. Agricultural management and Bayesian networks. To a blog in Thailand. As far as I can se it is a blog used in a project concerning natural resource management. Participatory decision support for agricultural management. A case study from Sri Lanka. Volume 76, Issue 2, May 2003.