Home » Tags » Machine de Classification de Semence

Product List

Seed Cleaner with gravity tables
Cleaner and grader Seed
Seed Cleaner Fine
Gravity Separator
Seed cleanser
Magnetic separator Seed
Polishing Machine for Bean
Machine de Tamisage et Classification de Graine par Vibration
Other Processing Machine Seed
Shelling / shellers and threshers
A sorter according to color
Packaging machine / weigher-bagger
Buckets lifter
Conveyor
Dust Collector System
Type Dust Collector Bag

Machine de Classification de Semence

Machine de Classification de Semence

  • A modern machine-held classification system embracing all fields of knowledge, useful as an aid to subject searching on the Internet or on any large information system covering the whole span of knowledge.
  • Research on learning first-order classification rules, first-order concept descriptions, genetic algorithms, neural networks, computational learning theory.
  • A library of C code useful for writing statistical text analysis, language modeling, and information retrieval programs. The current distribution includes the library, as well as front-ends for document classification (rainbow), document retrieval (arrow) and document clustering (crossbow). [LGPL]
  • Provides GMDH-based machine learning technology for classification, continuous value prediction and time series forecasting. The software uses multi-core processors and HPC Linux clusters. [Commercial]
  • Online magazine seeds and vegetable seeds, edited by GNIS on the subject of seeds, their role in everyday life and their image among the general public.
  • School of Computer Science and Informatics, University College Dublin. Automated information extraction using convergent boundary classification, machine learning for automatic genre classification, active learning for information extraction.
  • Brings together all industry players. News, training and documentation. The seed market in France.
  • This book is based on the EC (ESPRIT) project StatLog which compare and evaluated a range of classification techniques, with an assessment of their merits, disadvantages and range of application. This integrated volume provides a concise introduction to each method, and reviews comparative trials in large-scale commercial and industrial problems. It makes accessible to a wide range of workers the complex issue of classification as approached through machine learning, statistics and neural networks, encouraging a cross-fertilization between these disciplines.
  • By Thorsten Joachims - describes an SVM approach to text classification.
  • An unmoderated mailing list for recursive partitioning based supervised learning methods, a.k.a. classification and regression trees.
  • Support vector machines, machine learning and natural language, statistical learning theory, text classification.
  • A windows-based program that classifies text based on trained material. Designed for automated essay scoring, BETSY can be applied to any text classification task. [GPL]
  • Offers WEKA, an open-source (GPL) machine learning and data mining toolkit in Java with classification, regression, clustering, and association rules. Command-line and GUI interfaces.
  • Programmatically isolate similarities between scattered classes of genes. Expression driven. Utilizes a voting method along with a k-Nearest-Neighbors classification. Very rich graphical interface. Samples of an unknown class are possible given enough data. Fully functional demo. [Commercial]
  • An integrated collection of Java code useful for statistical natural language processing, document classification, clustering, information extraction, and other machine learning applications to text. [GPL]
  • Distributor of flower seeds, vegetable seeds, bulbs and flower mixtures.
  • This package forms a complete gradient descent machine learning library. Modules support vector machines in classification and regression, ensemble models such as bagging or adaboost, non-parametric models such as K-nearest neighbors, Parzen regression, and Parzen density estimation. Includes speech recognition tools. Written in C++ [BSD]
  • An integrated tool implementing support vector classification, regression, and distribution estimation. C++ and Java sources available. [Free]
  • Scalable nonparametric classification with Polynomial MPMC Cascades for use in Matlab. [GPL]
  • A machine learning library for classification, regression, ranking and reinforcement learning. It implements several well-known algorithms and is specially designed for large-scale applications. [GPL]

    • Machine de Sélection de Graine

    Trieuse par Vibration Fixe

    Machine de Classification de Semence