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6 projects in result set.
0. 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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- Development Status : 4 - Beta [Filter]
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2014-05-26 16:09 |
1. 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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- Development Status : 3 - Alpha [Filter]
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Registered: 2012-01-22 07:45 |
2. 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 |
3. 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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- Programming Language : Fortran [Filter]
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Registered: 2012-08-10 08:48 |
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. 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 |
