activeintelligence.org

Active Intelligence

Active Learning in Recommender Systems. Graduate Seminar on Learning Theories. Lead by: Asst. Prof. Neil Rubens ニールルベンス. We are working on developing Active Intelligence systems that learn actively in an unsupervised or semi-supervised manner. These systems are utilized in a variety of projects. In the domains of eLearning, Business Intelligence, and Knowledge Management. PhD 2012, Researcher/Manager at JIEM Obunsha). Meichieh Chen (PhD 2012, Researcher). MongoDB Default Admin Password.

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Active Learning in Recommender Systems. Graduate Seminar on Learning Theories. Lead by: Asst. Prof. Neil Rubens ニールルベンス. We are working on developing Active Intelligence systems that learn actively in an unsupervised or semi-supervised manner. These systems are utilized in a variety of projects. In the domains of eLearning, Business Intelligence, and Knowledge Management. PhD 2012, Researcher/Manager at JIEM Obunsha). Meichieh Chen (PhD 2012, Researcher). MongoDB Default Admin Password.

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Active Intelligence | activeintelligence.org Reviews

https://activeintelligence.org

Active Learning in Recommender Systems. Graduate Seminar on Learning Theories. Lead by: Asst. Prof. Neil Rubens ニールルベンス. We are working on developing Active Intelligence systems that learn actively in an unsupervised or semi-supervised manner. These systems are utilized in a variety of projects. In the domains of eLearning, Business Intelligence, and Knowledge Management. PhD 2012, Researcher/Manager at JIEM Obunsha). Meichieh Chen (PhD 2012, Researcher). MongoDB Default Admin Password.

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activeintelligence.org

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Install R Extension for RapidMiner on Ubuntu Linux or OSX | Active Intelligence

http://activeintelligence.org/blog/archive/install-r-extension-for-rapidminer-on-ubuntu-linux

Active Learning in Recommender Systems. Graduate Seminar on Learning Theories. Extending RapidMiner →. Install R Extension for RapidMiner on Ubuntu Linux or OSX. November 16, 2012. Update: Instructions provided by RM with R Extension are now working quite nicely; while html files are available within the package (RapidMiner R Extension Extension/resources/com/rapidminer/resources/help); they do not appear to be available online; I am providing them (w/ minor modifications. Here for reference purposes.

2

Energy Twitter Dataset | Active Intelligence

http://activeintelligence.org/datasets/twitter-energy

Active Learning in Recommender Systems. Graduate Seminar on Learning Theories. Link to file; to technical report. To preview the dataset you could use TwEx. That provides an excellent visualization and analysis of the dataset ….:. Dataset contains any of the 121 eco-linguistic terms. Being studied by the Stanford ARPAe project. Overall there are 2.47 million tweets, containing 18,338 hastags (df t 3). At Stanford University. A preliminary analysis. Of this data was presented at BECC2010. Designed by Dani...

3

Scala JSON | Active Intelligence

http://activeintelligence.org/blog/archive/scala-json

Active Learning in Recommender Systems. Graduate Seminar on Learning Theories. SNS messages didn’t get delivered to SQS. ScalaTest IntelliJ Problem →. May 6, 2015. I wanted to have a way to automatically de/serialize scala classes to/from JSON. The only library that does it rather effortlessly is Play JSON; as described here. As suggested, the best way is to use the companion object. You should define it in a separate file; otherwise you might run into context issues. The you can easily de/serialize JSON:.

4

SNS messages didn’t get delivered to SQS | Active Intelligence

http://activeintelligence.org/blog/archive/sns-messages-didnt-get-delivered-to-sqs

Active Learning in Recommender Systems. Graduate Seminar on Learning Theories. Server access Error: sun.security.validator.ValidatorException: PKIX path building failed. Scala JSON →. SNS messages didn’t get delivered to SQS. May 5, 2015. SNS messages didn’t get delivered to SQS. IAM permissions need to be giving as described in: http:/ docs.aws.amazon.com/sns/latest/dg/SendMessageToSQS.html. Keywords: amazon aws subscribtion queue. Searched for sns to sqs does not work. 8211; stackoverflow.com.

5

Publications | Active Intelligence

http://activeintelligence.org/publications

Active Learning in Recommender Systems. Graduate Seminar on Learning Theories. N Rubens, V. Sheinman, R. Tomioka, and M. Sugiyama, “Active learning in black-box settings,” Austrian journal of statistics. Vol 40, iss. 1&2, pp. 125-135, 2011. N Rubens, K. Still, J. Huhtamaki, and M. G. Russell, “A network analysis of investment firms as resource routers in chinese innovation ecosystem,” Journal of software. Vol 6, iss. 9, pp. 1737-1745, 2011. Impact: presentaiton views 3,000. Impact: # of citations 1.

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learningbyplaying.com

Neil Rubens | HRSTC [HeuRiSTiC]

http://www.learningbyplaying.com/node/8

Gradually Moving to a new domain:. Prof Okamoto/ Prof. Ueno), Center for Developing E-Learning. Center for Frontier Science and Engineering. Artificial Intelligence, Machine Learning (especially unsupervised learning, semi-supervised learning, meta learning, data mining, heuristics). N Rubens, K. Still, J. Huhtamaki and M. G. Russell, Investment Firms as Resource Routers in an Innovation Ecology, Journal of Networks, [to be published]. N Rubens, D. Kaplan, M. Villenius, and T. Okamoto, &ldquo...A Network...

hrstc.org

Neil Rubens | HRSTC [HeuRiSTiC]

http://www.hrstc.org/node/8

Gradually Moving to a new domain:. Prof Okamoto/ Prof. Ueno), Center for Developing E-Learning. Center for Frontier Science and Engineering. Artificial Intelligence, Machine Learning (especially unsupervised learning, semi-supervised learning, meta learning, data mining, heuristics). N Rubens, K. Still, J. Huhtamaki and M. G. Russell, Investment Firms as Resource Routers in an Innovation Ecology, Journal of Networks, [to be published]. N Rubens, D. Kaplan, M. Villenius, and T. Okamoto, &ldquo...A Network...

hrstc.com

Neil Rubens | HRSTC [HeuRiSTiC]

http://www.hrstc.com/node/8

Gradually Moving to a new domain:. Prof Okamoto/ Prof. Ueno), Center for Developing E-Learning. Center for Frontier Science and Engineering. Artificial Intelligence, Machine Learning (especially unsupervised learning, semi-supervised learning, meta learning, data mining, heuristics). N Rubens, K. Still, J. Huhtamaki and M. G. Russell, Investment Firms as Resource Routers in an Innovation Ecology, Journal of Networks, [to be published]. N Rubens, D. Kaplan, M. Villenius, and T. Okamoto, &ldquo...A Network...

lgstc.com

Neil Rubens | HRSTC [HeuRiSTiC]

http://www.lgstc.com/node/8

Gradually Moving to a new domain:. Prof Okamoto/ Prof. Ueno), Center for Developing E-Learning. Center for Frontier Science and Engineering. Artificial Intelligence, Machine Learning (especially unsupervised learning, semi-supervised learning, meta learning, data mining, heuristics). N Rubens, K. Still, J. Huhtamaki and M. G. Russell, Investment Firms as Resource Routers in an Innovation Ecology, Journal of Networks, [to be published]. N Rubens, D. Kaplan, M. Villenius, and T. Okamoto, &ldquo...A Network...

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Active Intelligence

Active Learning in Recommender Systems. Graduate Seminar on Learning Theories. Lead by: Asst. Prof. Neil Rubens ニールルベンス. We are working on developing Active Intelligence systems that learn actively in an unsupervised or semi-supervised manner. These systems are utilized in a variety of projects. In the domains of eLearning, Business Intelligence, and Knowledge Management. PhD 2012, Researcher/Manager at JIEM Obunsha). Meichieh Chen (PhD 2012, Researcher). MongoDB Default Admin Password.

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