IllinoisSL: A JAVA Library for Structured Prediction

09/23/2015
by   Kai-Wei Chang, et al.
0

IllinoisSL is a Java library for learning structured prediction models. It supports structured Support Vector Machines and structured Perceptron. The library consists of a core learning module and several applications, which can be executed from command-lines. Documentation is provided to guide users. In Comparison to other structured learning libraries, IllinoisSL is efficient, general, and easy to use.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/08/2015

Distributed Training of Structured SVM

Training structured prediction models is time-consuming. However, most e...
research
01/27/2020

LIBTwinSVM: A Library for Twin Support Vector Machines

This paper presents LIBTwinSVM, a free, efficient, and open source libra...
research
06/27/2012

Efficient Structured Prediction with Latent Variables for General Graphical Models

In this paper we propose a unified framework for structured prediction w...
research
05/15/2023

Dragon-Alpha cu32: A Java-based Tensor Computing Framework With its High-Performance CUDA Library

Java is very powerful, but in Deep Learning field, its capabilities prob...
research
09/28/2022

Accelerating netty-based applications through transparent InfiniBand support

Many big-data frameworks are written in Java, e.g. Apache Spark, Flink a...
research
08/19/2023

Graph4J – A computationally efficient Java library for graph algorithms

Graph algorithms play an important role in many computer science areas. ...
research
02/03/2020

Torch-Struct: Deep Structured Prediction Library

The literature on structured prediction for NLP describes a rich collect...

Please sign up or login with your details

Forgot password? Click here to reset