Kernels Peeling Machines

A central source of information on kernel based methods, including support vector machines, Gaussian processes.

A central information source for the area of Support Vector Machines, Gaussian Process prediction, Mathematical Programming with Kernels, Regularization Networks, Reproducing Kernel Hilbert Spaces, and related methods. Provides links to papers, upcoming events, datasets, code.

Port of the Linux kernel that allows it to run cooperatively alongside another operating system on a single machine.

Information and resources relative to the book "Kernel Methods for Pattern Analysis" by Shawe-Taylor and Cristianini.

Machine learning, kernel methods, kernel independent component analysis and graphical models

Java virtual machine (VM) that runs in Linux kernel, Linux kernel module JVM, based on JOS and kissme projects. [Open Source, GPL]

Research on machine learning theory, kernel methods for text analysis, support vector machines, kernel theory.

Research focusing on Machine Learning, Neural Networks, Kernel Machines, Computer Vision and Speech Processing.

Several algoritms with papers on Fast kernel density estimation, Improved Fast Gauss Transformation, and Fast ranking. Some unpublished papers are also included. [GPL]

Paper by Pai-Hsuen Chen, Chih-Jen Lin, and Bernhard Schölkopf, describing the main ideas of statistical learning theory, support vector machines (SVMs), and kernel feature spaces.

Research on kernel methods, support vector machines, neural networks, machine vision, bioinformatics, computational learning theory.

Combines the jJOS kernel and decaf virtual machine. [Open Source]

Germany. Specializes in manufacture of specially designed turning, milling, and profile peeling machines, as well as line of heavy duty sawing machines. Also offers subcontract services.

An on-line handwriting recognition engine based upon statistical dynamic time warping (SDTW) and support vector machines with a Gaussian DTW kernel (SVM-GDTW).

A high performance Python package for predictive modeling. Fast N-dimentional array manipulation is performed via numpy using C code. New features include: OLS, Ridge Regression, Kernel Redge Regression, LASSO, LARS, Gradient descent for Regression, and K-Means. [GPL]

Lithuanian-Swedish export company, specialising in production, impregnation and export of machine rounded and peeled poles.

Manufacturer of wooden boxes, stitching machine and poplar wood peeling machine for orchard and fruit producers. Products, news, contact and company profile. [Turkish/English]

A generic SVN object interface with many implementations including OCAS, Liblinear, LibSVM, SVMLight, SVMLin, and GPDT. Each SVN provides efficitne implementations of the most common kernals such as Linear, Ploynomial, Gaussian, and Sigmond Kernel and others. Implemented in C++ and interfaces to Matlab(tm), R, Octave and Python. [GPL]

Simulates a x86 processor and can be used to run Linux as a guest. It also can be used to accelerate bochs by executing user code inside the plex86 VM, while letting bochs execute kernel code and IO functionality inside the emulator.

Makes 2 very small, open source realtime OSs for embedded systems, written in C: proc Real-Time Kernel, preemptive, mature; nesos Finite State Machine Operating System (FSMOS), modular, use concurrent programming methods in little time and space. Also: nemon Boot and Debug Monitor; Embedded Web Servers.

Peanut Peeling Machines

Cashew Nut Soft Skin Peeling Machine

Cashew Peeling Machine

We offer premium quality Cashew Peeling Machines that have a capacity of peeling around 300kg/h cashew nuts .They play a multi-purpose role as they can be used with variety of nuts like almonds, peanuts or soybeans. This cashew peeling machine is of gas method, specially developed to be used for peeling the cashew nuts, separating the nuts kernels from the skin of the kernels efficiently. This machine is a key part of cashew nut shelling line, so it is a great choice for the factories specialized in cashew processing.