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6 projects in result set.
0. Learn user preferences - Active machine learning methods are used to guess user intent in interactive R sessions, leading to more sensible, user-specific defaults for various functions.
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Registered: 2010-11-26 16:34 |
1. Species Distribution Modelling - sdm is an extendable framework to develop species distributions models using individual and community-based approaches, generate ensembles of models, evaluate the models, and predict species potential distributions in space and time.
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Registered: 2014-05-26 16:09 |
2. Forecasting with Artificial Intelligence - The package ForAI uses machine learning methods such as artificial neural networks, support vector regression, extreme learning machines, and evolutionary algorithms for forecasting and prediction.
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Registered: 2012-01-22 07:45 |
3. Conditional Random Fields - This project provides a set of tools for conditional random fields tasks such as decoding/inference/sampling/training.
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Registered: 2010-12-28 07:13 |
4. soRvi - avoimen datan työkalupakki - soRvi on avoimen datan työkalupakki, joka tarjoaa laskennallisia välineitä avointen rajapintojen kautta saatavien tietoaineistojen hakuun, siivoamiseen, yhdistelyyn, louhintaan ja visualisointiin tukien erityisesti suomalaista avoimen datan yhteisöä.
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Registered: 2011-10-07 15:24 |
5. Mixed-pair mutual information estimators - Fast calculation mutual information for comparisons between all types of variables including continuous vs continuous, continuous vs discrete and discrete vs discrete. Also provides jackknife bias correction and tests for association.
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Registered: 2012-08-10 08:48 |
