Project details for PLEASD

Screenshot PLEASD 0.1

by heroesneverdie - September 10, 2012, 03:53:26 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

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PLEASD stands for Prediction and LEArning for Structured Data. It is a Matlab toolbox of algorithmic frameworks for training structured prediction models. We provide this toolbox to ease the process of applying structured learning to new problems. We attempt to minimize users’ involvement in coding the structured learning framework such that they can focus on issues related to their specific problems. Currently, PLEASD has included the following structured learning frameworks: 1. Bundle method for risk minimization; 2. Structured perceptron learning; 3. Structured learning from partial annotations; 4. Structured perceptron learning from partial annotations.

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BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
Supported Operating Systems: Platform Independent
Data Formats: Any Format Supported By Matlab
Tags: Optimization, Structured Data, Structured Output Learning
Archive: download here


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