Search Results for "classification" - Page 16
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Showing 644 open source projects for "classification"
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...Finally, the phase data from 1D Log-Gabor filters was extracted and quantized to four levels to encode the unique pattern of the iris into a bit-wise biometric template. The Hamming distance was employed for classification of iris templates, and two templates were found to match if a test of statistical independence was failed.
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node2vec
Learn continuous vector embeddings for nodes in a graph using biased R
...The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction. The repository contains reference code accompanying the research paper node2vec: Scalable Feature Learning for Networks (KDD 2016). It allows researchers and practitioners to apply node2vec to various graph datasets and evaluate embedding quality on downstream tasks. By bridging ideas from graph theory and word embedding models, this project demonstrates how graph-based machine learning can be made efficient and flexible. -
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...The former Matlab toolbox Gait-CAD was designed for the visualization and analysis of time series and features with a special focus to data mining problems including classification, regression, and clustering.
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Random Bits Forest
RBF: a Strong Classifier/Regressor for Big Data
We present a classification and regression algorithm called Random Bits Forest (RBF). RBF integrates neural network (for depth), boosting (for wideness) and random forest (for accuracy). It first generates and selects ~10,000 small three-layer threshold random neural networks as basis by gradient boosting scheme. These binary basis are then feed into a modified random forest algorithm to obtain predictions. -
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Feedback Generator
Create your feedback fast and easily
This application will help you with feedback creating about skills of another employee. Some predefined templates are provided. All used templates are editable. Also you can easily add new categories and their classification. -
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AXYZ
Newsfeed aggregator
...Among the features of the program, stands out a new processing engine of syndication channels, monitoring capability of information recovery in real time, the possibilities of the configuration of aggregator behavior, automatic classification of contents and new models for representation of information from relational interactive maps. On the other hand, the aggregation program, which named AXYZ, is designed to manage thousands of syndication channels of RSS format. Furthermore it also provides statistics that can be used to study the production of any producer subject and the impact of the information that published in other sources. ... -
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NXLog
A multi-platform universal log collector and forwarder
NXLog is a modular, multi-threaded, high-performance log management solution with multi-platform support. In concept it is similar to syslog-ng or rsyslog but is not limited to unix/syslog only. It can collect logs from files in various formats, receive logs from the network remotely over UDP, TCP or TLS/SSL . It supports platform specific sources such as the Windows Eventlog, Linux kernel logs, Android logs, local syslog etc. Writing and reading logs to/from databases is also supported.... -
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This program presents `DIABDIAG', helps to classify the patients with diabetes of T2DM in two types, who are asymptomatic and symptomatic. DIABDIAG uses the principle of Diagnosis Algorithm to sort patients asymptomatic and symptomatic. The classification of two types is used main and sub-main factors that can help to decide under which type the patients should be. DIABDIAG uses as I mention Diagnosis Algorithm by asking users to enter and answer some question then it gives them the result of classifying with advice.
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JCLTP
A Java Class Library for Text Processing
...JCLTP is distributed under the GNU license. It incorporates several technologies that enable process information while applying AI techniques, in order to build predictive models for text classification. Through a flexible structure of interfaces and classes, the opportunity to extend, adapt and add functionality JCLTP is provided. Thus, analysis of new types of information is much easier and intuitive. The researcher can use the class library by adding it to his project or direct through specific commands created for these cases. ... -
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EpiMINE
program for mining epigenomic data
EpiMINE is a program designed for mining epigenomic data. This application performs genome wide based quantitative and correlative analysis between different annotated or raw chip-seq like datasets in the regions of interest (RI). Apart from this the tool takes the advantage in linking results with expression data. It is available both in graphical user interface and in command line form. It can be executed in Mac and Linux platforms. Dependencies: python >= 2.7 version python... -
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Python Machine Learning book
The book code repository and info resource
What you can expect are 400 pages rich in useful material just about everything you need to know to get started with machine learning. From theory to the actual code that you can directly put into action! This is not yet just another "this is how scikit-learn works" book. I aim to explain all the underlying concepts, tell you everything you need to know in terms of best practices and caveats, and we will put those concepts into action mainly using NumPy, scikit-learn, and Theano. This is not... -
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Random Bits Regression
Random Bits Regression is a strong general predictor.
We proposed an accurate, robust and fast general predictor (RBR) for regression and classification in big data era. The application of this method is very broad, from science to industry, finance and health. The accuracy and robustness improvement of our method over existing method could bring huge benefits in some critical applications. For example, natural disaster prediction, stock price prediction, personal/population disease prediction. -
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FOCUS2
FOCUS2: agile metagenomic classificication using reduced DB
Summary: Metagenomics approaches rely on identifying the presence of organisms in the microbial community from a set of unknown DNA sequences. Sequence classification has valuable applications in multiple important areas of medical and environmental research. Here we introduce FOCUS2, an update of the previously published computational method FOCUS. FOCUS2 was tested with 10 simulated and 543 real metagenomes demonstrating that the program is more sensitive, faster, and more computationally efficient than existing methods -
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GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner).
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ReLiS
Tool for conducting systematic literature reviews and studies
...ReLiS is a tool that helps him considerably reduce the effort to analyze the corpus of papers, typically varying between hunderds and thousands depending on the research topic. ReLiS allows the user to follow a systematic process and automate the classification of papers as much as possible during the literature study. -
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CDSS for Allergy-Diagnosis
A clinical Decision Support System for Diagnosis of Allergic Rhinitis
A Clinical Decision Support System (CDSS) can be used for diagnosing allergic disorders. CDSS with rule based classification approaches, aid junior doctors and clinicians to diagnose and make reliable decisions. The results of an intradermal skin test is the input to the CDSS. The System predicts the presence or absence of ALLERGIC RHINITIS. The system is tailored to suit to the common allergens (inhalents and ingestants) prevalent in Chennai, South India. -
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Kromophone
A color sonification device for navigation and classification
The Kromophone is a color-to-sound sensory substitution device. It was designed with the tasks of navigation, object, and environmental navigation in mind. -
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GMaVis: A DSL for Geo-Visualization
It is a domain-specific language for large data geo-visualizations
GMaVis is an external domain-specific language (DSL) that facilitates the creation of visualization of geospatial information by using multi-core architectures to process data in parallel. Its compiler abstracts complexities from the whole visualization creation process, even in the data pre-processing phase. Also, it allows domain users with low-level knowledge in computer programming to create these visualizations through a high-level description language. These users can easily do it with... -
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Disassembly Planning Ontology
Disassembly planning ontology
...This work focuses on the modeling of the disassembly planning related information, and develops a Disassembly Information Model (DIM) based on an extensive investigation of various informational aspects of the disassembly planning. The developed Disassembly Information Model, which represents an appropriate systematization and classification of the products, processes, uncertainties and degradations related information, follows a layered modeling methodology. In this layered configuration, the DIM is subdivided into three distinct layers with an intent to separate general knowledge into different levels of abstractions, and to reach a balance between information reusability and information usability. -
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sgmweka
Weka wrapper for the SGM toolkit for text classification and modeling.
Weka wrapper for the SGM toolkit for text classification and modeling. Provides Sparse Generative Models for scalable and accurate text classification and modeling for use in high-speed and large-scale text mining. Has lower time complexity of classification than comparable software due to inference based on sparse model representation and use of an inverted index. The provided .zip file is in the Weka package format, giving access to text classification. ... -
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Speechalyzer
Process large speech data wrt transcription, labeling and annotation
Speechalyzer: a tool for the daily work of a 'speech worker' It is optimized to process large speech data sets with respect to transcription, labeling and annotation. It is implemented as a client server based framework in Java and interfaces software for speech recognition, synthesis, speech classification and quality evaluation. The application is mainly the processing of training data for speech recognition and classification models and performing benchmarking tests on speech-to-text, text-to-speech and speech classification software systems. -
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A machine learning-based method for somatic variant identification from low-pass next-generation sequencing.
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GA-EoC
GeneticAlgorithm-based search for Heterogeneous Ensemble Combinations
...The classification performances achieved by the proposed method method on the chosen datasets are promising. -
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BPL
Bayesian Program Learning model for one-shot learning
...The approach treats each concept (e.g. a character) as being generated by a probabilistic program (motor primitives, strokes, spatial relationships), and inference proceeds by fitting those generative programs to a single example, generalizing to new examples, and generating new exemplars. The repository contains code for parsing stroke sequences, fitting motor programs, exemplar generation, classification, re-fitting, and demonstration scripts.
