Discriminative Concept Learning Network: Sample Source Code and Supplement (Project Archive)

Citation Author(s):
Qiao
Wang
Sylvia
Young
Aaron
Harwood
Cheng Soon
Ong
Submitted by:
Qiao Wang
Last updated:
Fri, 11/17/2023 - 15:08
DOI:
10.21227/h1rd-v757
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Abstract 

Summary: The archive of DCLN project (https://sourceforge.net/projects/dcln/) is provided.
Code & Script: Written in C/C++, run Shell scripts on Linux system. Mature DCLNv2 package available for download. Check './dcln.sh' for usage info.
Document: Details of hyperparameters tuning, data preprocessing and code compiling are given.
Data: Four nonlinear simulation datasets are provided (Fig. 2 of the main paper). Each study has ~2000 training samples and ~2000 test samples.

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THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.

Instructions: 

Unzip files; check scripts and document; prepare input data; and compile the code.
'archive-base-2.1.1.zip': Last version 2.1.1 and document.
'archive-legacy-2.0.X.zip': Older 2.0.X versions, data, utility scripts and rerun results.

Dataset Files

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Documentation

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File Disclaimer.txt486 bytes