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4 projects in result set.
0. Probabilistic Suffix Trees - The PST library allows to fit and visualize Probabilistic Suffix Trees (PST), the construction that stores Variable Length Markov Chains (VLMC). Fitted PSTs can be used to predict, generate or impute categorical sequences. |
- Development Status : 4 - Beta (Now Filtering)
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English (Now Filtering)
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- Programming Language : R [Filter]
- Topic : Graphics [Filter]
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- Topic : Social Sciences : Analysis of Categorical and Count Data [Filter]
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Registered: 2012-01-04 10:50 |
1. chemosensors - This package introduces a software tool that allows for the design of synthetic experiments in machine olfaction. |
- Development Status : 4 - Beta (Now Filtering)
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- License : OSI Approved : GNU General Public License (GPL) [Filter]
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- Programming Language : R [Filter]
- Topic : Chemoinformatics [Filter]
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Registered: 2012-01-19 14:28 |
2. Conditional Random Fields - This project provides a set of tools for conditional random fields tasks such as decoding/inference/sampling/training. |
- Development Status : 4 - Beta (Now Filtering)
- Environment : Console (Text Based) [Filter]
- Intended Audience : Developers [Filter]
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- Intended Audience : Other Audience [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English (Now Filtering)
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- Programming Language : C/C\+\+ [Filter]
- Programming Language : R [Filter]
- Topic : Graphical Models [Filter]
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Registered: 2010-12-28 07:13 |
3. 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. |
- Development Status : 4 - Beta (Now Filtering)
- Environment : Console (Text Based) [Filter]
- Environment : Web Environment [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- Intended Audience : Other Audience [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English (Now Filtering)
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- Programming Language : R [Filter]
- Topic : Machine Learning (Now Filtering)
- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2014-05-26 16:09 |