Search Results for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files" - Page 23

Showing 613 open source projects for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files"

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    Run applications fast and securely in a fully managed environment

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  • 1
    Intelligent Keyword Miner

    Intelligent Keyword Miner

    Intelligent SEO keyword miner and predicing tool

    ...Programs that have similar idea are: Google AdWords, SERPWoo's Keyword Finder, Wordpot, and others. Difference is, this program is intelligent and it accepts your input data and then predicts keywords based on your likes or dislikes. As the main engine, it uses the SMOReg algorithm to analyze and map the keyword frequencies of your data. This can be a great SEO tool to help increase the traffic of any website featuring a product.
    Downloads: 0 This Week
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  • 2

    Chordalysis

    Log-linear analysis (data modelling) for high-dimensional data

    ...However, due to its exponential nature, previous approaches did not allow scale-up to more than a dozen variables. We present here Chordalysis, a log-linear analysis method for big data. Chordalysis exploits recent discoveries in graph theory by representing complex models as compositions of triangular structures, also known as chordal graphs. Chordalysis makes it possible to discover the structure of datasets with thousands of variables on a standard desktop computer. Associated papers at ICDM 2013, ICDM 2014 and SDM 2015 can be found at http://www.francois-petitjean.com/Research/ YourKit is supporting Chordalysis open source project with its full-featured Java Profiler. ...
    Downloads: 0 This Week
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  • 3
    MODLEM

    MODLEM

    rule-based, WEKA compatible, Machine Learning algorithm

    This project is a WEKA (Waikato Environment for Knowledge Analysis) compatible implementation of MODLEM - a Machine Learning algorithm which induces minimum set of rules. These rules can be adopted as a classifier (in terms of ML). It is a sequential covering algorithm, which was invented to cope with numeric data without discretization. Actually the nominal and numeric attributes are treated in the same way: attribute's space is being searched to find the best rule condition during rule induction. In result numeric attribute's conditions are more precise and closely describe the class. This algorithm contains some aspects of Rough Set Theory: the class definition can be described accordingly to its lower or upper approximation. ...
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    Downloads: 19 This Week
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  • 4

    libVMR

    VMR - machine learning library

    ...The library has been designed to learn from data sets. Typical applications here are pattern recognition ( binary classification).
    Downloads: 0 This Week
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  • 5
    ArabicDiacritizer

    ArabicDiacritizer

    An automatic restoration of Arabic diacritic marks

    ... - Start the diacritization process. If the following problem occured: <Access to the path '..\ArabicDiacritizer v1.0\text.data' is denied> - Access to the path "Program Files\ArabicDiacritizer\ArabicDiacritizer v1.0\", - Right click on "ArabicDiacritizer" - Choose "Run as administrator" For further information, please contact: rebai_ily
    Downloads: 1 This Week
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  • 6
    ConvNetJS

    ConvNetJS

    Deep learning in Javascript to train convolutional neural networks

    ...If you would like to add features to the library, you will have to change the code in src/ and then compile the library into the build/ directory. The compilation script simply concatenates files in src/ and then minifies the result.
    Downloads: 0 This Week
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  • 7

    CURRENNT

    CUDA-enabled machine learning library for recurrent neural networks

    CURRENNT is a machine learning library for Recurrent Neural Networks (RNNs) which uses NVIDIA graphics cards to accelerate the computations. The library implements uni- and bidirectional Long Short-Term Memory (LSTM) architectures and supports deep networks as well as very large data sets that do not fit into main memory.
    Downloads: 0 This Week
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  • 8
    BudgetedSVM

    BudgetedSVM

    BudgetedSVM: A C++ Toolbox for Large-scale, Non-linear Classification

    ...BudgetedSVM trains models with accuracy comparable to LibSVM in time comparable to LibLinear, as it allows solving highly non-linear classi fication problems with millions of high-dimensional examples within minutes on a regular personal computer. We provide command-line and Matlab interfaces to BudgetedSVM, efficient API for handling large-scale, high-dimensional data sets, as well as detailed documentation to help developers use and further extend the toolbox.
    Downloads: 0 This Week
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  • 9
    neural network designer

    neural network designer

    a dbms for neural nets. Chatbots, DTrees, random forests, n-grams,...

    This project consists out of a windows based designer application and a library (that can run on multiple platforms, including android) together with several demo applications (including an MVC3 chatbot client and an android application). It is probably best compared to a database management system, but for neural networks instead of relational data. As such, the library is optimized for handling any type of data-size by using advanced streaming and caching algorithms. ...
    Downloads: 0 This Week
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  • 10

    StabLe

    An algorithm for learning stable graphical models from data

    Stable Graphical Model Learning (StabLe) is an algorithm for learning the structure and parameters of stable graphical (SG) models from data. Stable random variables are motivated by the central limit theorem for densities with (potentially) unbounded variance and can be thought of as natural generalizations of the Gaussian distribution to skewed and heavy-tailed phenomenon. SG models are multi-variate stable distributions that represent Bayesian networks whose edges encode linear dependencies amongst random variables. ...
    Downloads: 0 This Week
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  • 11
    FineSplice

    FineSplice

    Enhanced splice junction detection and estimation from RNA-Seq data

    FineSplice is a Python wrapper to TopHat2 geared towards a reliable identification of expressed exon junctions from RNA-Seq data, at enhanced detection precision with small loss in sensitivity. Following alignment with TopHat2 using known transcript annotations, FineSplice takes as input the resulting BAM file and outputs a confident set of expressed splice junctions with the corresponding read counts. Potential false positives arising from spurious alignments are filtered out via a semi-supervised anomaly detection strategy based on logistic regression. ...
    Downloads: 0 This Week
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  • 12

    ProximityForest

    Efficient Approximate Nearest Neighbors for General Metric Spaces

    A proximity forest is a data structure that allows for efficient computation of approximate nearest neighbors of arbitrary data elements in a metric space. See: O'Hara and Draper, "Are You Using the Right Approximate Nearest Neighbor Algorithm?", WACV 2013 (best student paper award). One application of a ProximityForest is given in the following CVPR publication: Stephen O'Hara and Bruce A.
    Downloads: 0 This Week
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  • 13
    Consilium Sentence Suggestions Tools

    Consilium Sentence Suggestions Tools

    Consilium – User Defined sentence Suggestion Tool.

    ...But in reality style of writing changes person to person. While our aim is to provide a sentence suggestion tool which will give suggestion to complete the sentence according previously enterd data by the user. Output or suggestion for same sentence or word will change person to person according to previously entered data by that person. So, it will be very easy to type any document, sms, mail, chatting etc.
    Downloads: 0 This Week
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  • 14
    Matlab Community Detection Toolbox

    Matlab Community Detection Toolbox

    CDTB is a MATLAB toolbox which performs Community Detection

    ...The user can employ the functions from the MATLAB command line; or he can write his own code, incorporating the CDTB functions; or he can use the Graphical User Interface (GUI) which automates the community detection and includes some data visualization options.
    Downloads: 0 This Week
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  • 15
    LPCforSOS is a machine learning framework with a special focus on structured output spaces and pairwise learning. It supports currently multiclass, ordinal, hierarchical, multi-label and label ranking classification settings.
    Downloads: 0 This Week
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  • 16
    HW SOM

    HW SOM

    SOM - Self-Organizing Maps of Teuvo Kohonen

    It's a "Hello World" implementation of SOM (Self-Organizing Map) of Teuvo Kohonen, otherwise called as the Kohonen map or Kohonen artificial neural networks.
    Downloads: 0 This Week
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  • 17

    drvq

    dimensionality-recursive vector quantization

    ...A detailed README file describes the usage of the software, including license, requirements, installation, file formats, sample data, tools, and options. With the sample data provided and the default options, it is possible to test the code immediately as a demo. DRVQ has a 2-clause BSD license. Please refer to the DRVQ software home page, the research project, or the original publication for more information. The latest code is available at github.
    Downloads: 0 This Week
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  • 18
    ALN machine learning
    Customizable software to smoothly fit non-linear, high-dimensional data. SDK in C with C++ wrappers, plus demo applications (all under LGPL). Versions under Windows and Linux already operational. Further progress depends on your imagination!
    Downloads: 0 This Week
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  • 19

    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.
    Downloads: 0 This Week
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  • 20
    DocCO

    DocCO

    Non-disjoint groupping of Documents based on word sequence approach

    ...It offers the possibility to make non disjoint clustering of documents using both vectorial and sequential representation (word sequence approach based on WSK kernel). All data format supported by WEKA could be used in DocCO. Data could be loaded from files, from databases or from specified URL. All the preprocessing techniques implemented in WEKA could be used before performing the learning.
    Downloads: 1 This Week
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  • 21
    feed4weka is an open library that enriches weka (http://www.cs.waikato.ac.nz/ml/weka/), an open source project for data analysis. It integrates new classification and clustering algorithms, and adds the coclustering and outlier detection frameworks
    Downloads: 0 This Week
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  • 22
    Open Pandora's Box

    Open Pandora's Box

    Pandora is an artificial intelligent web based bot

    ...Pandora is a component based AI architecture including, database memory, XML, voice, voice rec, chat, IRC, HTTP, Wiktionary, Freebase, consciousness, language, GUI, applet, web, jsp, Android
    Downloads: 0 This Week
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  • 23
    This is a Matlab software package for single molecule FRET data analysis.
    Downloads: 1 This Week
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  • 24
    TreeLiker

    TreeLiker

    TreeLiker is a collection of fast algorithms for working with complex

    TreeLiker is a collection of fast algorithms for working with complex structured data in relational form. The data can, for example, describe large organic molecules such as proteins or groups of individuals such as social networks or predator-prey networks etc. The algorithms included in TreeLiker are unique in that, in principle, they are able to search given sets of relational patterns exhaustively, thus guaranteeing that if some good pattern capturing an important feature of the problem exists, it will be found. ...
    Downloads: 1 This Week
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  • 25

    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. Since updating the structure is a costly task, we use new data to primarily adapt the parameters and only if this is really necessary, do we adapt the structure. The method for handling concept drift is based on the Shewhart P-Chart. ...
    Downloads: 0 This Week
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