Search Results for "learning" - Page 3
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Showing 144 open source projects for "learning"
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Myrtle
A simple programmable spreadsheet for learning statistics.
Myrtle is a simple programmable spreadsheet and statistical analysis software specifically designed for learning statistics. It provides the standard spreadsheet functionality one would expect like multiple tabbed sheets, relative and absolute row and column referencing in formulas, and a large catalog of built-in functions. Functions specific to logic and computer science, mathematics, probability, and statistics are available. Student's can easily create, customize, and update plots and graphical summaries of their analyses. ... -
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NN Image Recognition (with source-code)
This is ANN trained application to predict digits from 0 - 9.
It can predict digits from 0-9 with Artificial Neural Network. I trained ANN with 100 samples of each digit. It takes input of 20x20 pixel image and predicts it with Neural Network. It may predict wrong digit due to very low sample data but it work 90% correctly. Note: JRE 1.6 is required to run this application. -
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DocCO
Non-disjoint groupping of Documents based on word sequence approach
...All the preprocessing techniques implemented in WEKA could be used before performing the learning. -
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LARA
Lightweight Architecture for boundedly Rational Agents
...LARA provides prefabricated components of an agent’s decision process like perception, memory, and different modes of decision making. These components are psychologically plausible, i.e. based on appropriate psychological results and theories. Moreover, interfaces for basic learning and social influence are available. -
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The aim of the project is create a learning tools for students. If children become aware of consumption, perhaps they will be able to influence and affect a larger system of the school. Within smart energies, the goal of the monitoring system is the control and management, even remotely, ofconsumption and production of energy users are characterized by complex energy systems.
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Sphaerica
Interactive spherical geometry software.
Sphaerica is an interactive spherical geometry computer software. You can create complex geometric constructions in spherical geometry with this software. It supports orthogonal, stereographic and gnomonic projections to display your construction. It also has a built in scripting language for automated constructions. -
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AdPreqFr4SL
Adaptive Prequential Learning Framework
The AdPreqFr4SL learning framework for Bayesian Network Classifiers is designed to handle the cost / performance trade-off and cope with concept drift. Our strategy for incorporating new data is based on bias management and gradual adaptation. Starting with the simple Naive Bayes, we scale up the complexity by gradually updating attributes and structure. -
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ABC-DynF
Adaptive Bayesian Classifier with Dynamic Features
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TreeLiker
TreeLiker is a collection of fast algorithms for working with complex
...In experiments with real-life data, the algorithms were shown to be able to construct complete non-redundant sets of patterns for chemical datasets involving several thousands of molecules as well as for comparably large datasets from genomics or proteomics. The included relational learning algorithms are tailored towards so-called tree-like features for which some otherwise very hard sub-problems (NP-hard) become tractable. -
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Black Hole Cortex
Sphere surface layers of visual cortex approach maximum info density
Near the surface (even horizon) of a black hole, there is maximum information density in units of squared plancks (and some translation to qubits). Similarly, our imagination is the set of all possible things we can draw onto our most dense layer of visual cortex in electricity patterns. Bigger layers have more neurons to handle those possibilities. A Black Hole Cortex is a kind of visual cortex that has density of neuron layers similar to density at various radius from a black hole. What we... -
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CUO
Codon Usage Optimizer
...The main tool in CUO, Moptimizer, introduces a semi-automatic way of gene optimization which provides more flexibility and accuracy during the optimization process. The future plan for CUO is to be developed into a multipurpose bioinformatics software where data, findings, planning and learning in biology labs can be created and shared at finger tips. -
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Javamony
A Student's Approach to the Phylogenetic Problem
...Javamony is invoked as follows: java -jar Javamony.jar [input.fasta] [random / stepwise (starting tree)] [# of bootstraps] [outgroup taxon #1] [outgroup taxon #2] ... Not meant as a competitive phylogenetic inference program, Javamony is an opportunity for me to acquire the Java language while learning to address and solve fundamental problems in phylogenetics. Therefore, for my own educational benefit, all code is original. Of course, there are probably a good deal of mistakes as well. I distribute Javamony, as I did Pysimony, hoping that it will be of educational value to someone else or at least vaguely amusing. Upcoming features will be: - Support for Amino Acid sequences - Support for additional file formats (e.g. ... -
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...JBoost contains implementations of several boosting algorithms in an alternating decision tree framework. In addition, JBoost provides extensible software for adding more learning algorithms.
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SweetOnionCCG2PTBConverter
A tool that converts CCGBank to PTB
Conversion between different grammar frameworks is of great importance to comparative performance analysis of the parsers developed on them. This tool can convert CCG derivations to PTB trees by using Max Entropy models as well as visualizing the tree graphs. The main technical innovation presented here is the effective conversion method which achieves a F score over 95%. -
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Nen
neural network implementation in java
3-layer neural network for regression and classification with sigmoid activation function and command line interface similar to LibSVM. Quick Start: "java -jar nen.jar" -
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Java Analogical Modeling
Analogical Modeling module for Java
Analogical Modeling is an exemplar-based approach to machine learning which imitates human behavior in outcome prediction. Its design has been applied to many natural language and other phenomena which exhibit variable behavior. A Perl XS implementation is available from http://humanities.byu.edu/am/ . This project is a Java implementation of the same. For more information on Analogical Modeling, see http://en.wikipedia.org/wiki/Analogical_modeling . -
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Grid Computing MDR
Grid-enabled version of the MDR software
The objective of this project is to make available an open-source of a gridified version of the Multifactor Dimensionality Reduction (MDR) software (http://www.epistasis.org/software.html). -
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Proper is a propositionalization framework written in Java containing several algorithms for generating propositional (and also multi-instance) data from relational databases. It produces data that can be used by the WEKA machine learning workbench.
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...The method is based on SVM but other ML algorithms can be adopted. The method details are explained in the following paper: Ehsan Emadzadeh, Azadeh Nikfarjam, and Graciela Gonzalez. 2011. Double Layered Learning for Biological Event Extraction from Text. In Proceedings of the BioNLP 2011 Workshop Companion Volume for Shared Task, Portland, Oregon, June. Association for Computational Linguistic
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ssSVMToolbox is a Java application capable of performing supervised and semi-supervised learning tasks with Support Vector Machines. It is based on Spring (http://springframework.org/), RapidMiner (http://www.rapidminer.com) and Eclipse RCP (http://eclip
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“Neurology Diagnosis System” is a web-based expert system for diagnosis of neurologic disorders or the disorders of our nervous system. Health assistants in remote areas can use the system to diagnose neurologic patients in the absence of neurolo
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This Project is to make a robotic platform and Soft Brain for a self learning research robot. For making it modular we are using OSGI with rosjava javacv.
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...The full featured editor of the rule language and the build process of UIMA descriptors are complemented with components for visualization, explanation, testing and rule learning.
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Cougar Squared is a new Java library for machine learning and data mining research, supporting research needs of the community. It is written by researchers for researchers. It extends the WEKA and YALE machine learning frameworks.
