Search Results for "java implementation of perceptron" - Page 3
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Showing 63 open source projects for "java implementation of perceptron"
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KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
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A Java implementation of the NEAT algorithm as created by Kenneth O Stanley. Also provides a toolkit for further experiments to be created and can provide both local and distributed learning environments.
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SMSCompress is a project of investigation, development and implementation of different SMS compression techniques. Using these techniques, SMS of more than 160 characters can be sent at only one SMS, saving money to the user ;)
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jSGP is a Java implementation of the five SGP/SDP propagators described in NORAD's Spacetrack Report No. 3.
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Currently, all existing formal tools are designed to serve as formal verifiers, using one implementation or another. NO tool is providing a global framework to develop algorithms. Silicis is a new formal framework for designing [verification] algorithms.
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jpaul is a Java implementation of several algorithms widely used in program analysis. It emphasizes flexibility and ease-of-use and is independent of any specific compiler infrastructure project. BSD Licence.
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distDES is a Java RMI-based application which manages load balancing on heterogeneous clusters. Development will extend the theoretical initial implementation to include clustered Rainbow Table generation and encryption algorithm collision detection.
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A Java implementation of a cubic B-spline curve smoothing function. Allows an arbitary number of points with a variable number of dimensions to have a cubic B-spline curve "fitted". Useful in finance for analysing bond or swap yield and discount curves.
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This project is java version of the SQL functions as defined by the Transact-SQL programming language for the MS SQL 2000. It is pure 100% Java implementation for the famous SQL Functions such as CONVERT, PATINDEX or DATEDIFF.
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The Customizable Caching Framework provides a basic but robust implementation of a cache with expiry and memory management features. It also provides entry points to populate the cache, making it reusable in several applications.
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This project aims at providing an implementation of some state-of-the-art techniques for summarizing multi-dimensional data. Multi-dimensional data summarization can effectively support query optimization algorithms and OLAP applications.
