The "/datasets/Tmc2007-50..datasets/Tmc2007-500" file could not be found or is not available. Please select another file.

Mulan Files

Brought to you by: stevelaskaridis, tsoumakas

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	InfoDownloads / Week
mulan-1-5	2015-02-22	6
datasets	2014-07-23	101
mulan-1-4	2012-07-31	0
mulan-1-3	2011-05-26	0
mulan-1-2	2010-07-21	0
mulan-1-1	2010-03-22	0
mulan-1-0	2009-09-01	0
mulan-0-4	2009-01-11	0
mulan-0-3	2008-10-28	0
OldFiles	2008-10-28	0
mulan-0-2	2008-10-06	0
Totals: 11 Items		107

Other Useful Business Software

Gemini 3 and 200+ AI Models on One Platform

Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

Build generative AI apps with Vertex AI. Switch between models without switching platforms.

Start Free

Try Google Cloud Risk-Free With $300 in Credit

No hidden charges. No surprise bills. Cancel anytime.

Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.

Start Free

Gemini 3 and 200+ AI Models on One Platform

Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

Build generative AI apps with Vertex AI. Switch between models without switching platforms.

Start Free

Recommended Projects

MEKA
A Multi-label Extension to Weka
MusicLM - Pytorch
Implementation of MusicLM music generation model in Pytorch
Large Experiment and Evaluation Tool
LEET (Large Experiment and Evaluation Tool) is a front-end software utility for WEKA that simplifies large-scale experiment and evaluation of algorithms and datasets in the classification context.
Java Machine Learning Library
Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
weka neural network algorithms
This project contains weka packages of neural networks algorithms implementations like Learning Vector Quantizer (LVQ) and Self-organizing Maps (SOM). For more information about weka, please visit http://www.cs.waikato.ac.nz/~ml/weka/