Thesis Neminis » Thesis

Thesis and Talk

vincenzo russo — Thu, 03 Apr 2008 20:23:19 +0000

This post comes after a few months in oder to put in evidence the links to download both the thesis and the final talk.

Download the Master’s Thesis (only in English)
Download the final talk (ENG|ITA)

IMPORTANT: this is the last post I publish on this blog, because the thesis is over. You can reach me on my professional blog.

Final Mark

vincenzo russo — Wed, 06 Feb 2008 09:55:56 +0000

Master degree received.
Final mark: 110/110 Cum Laude.

Final talk

vincenzo russo — Sun, 03 Feb 2008 09:56:00 +0000

A definitive draft of the final talk (it is in Italian language) is available for download

Download Compressed (bzip2) PDF (4.7MB)

Download PDF (6.8MB)

Thesis – Final Draft

vincenzo russo — Mon, 28 Jan 2008 14:16:36 +0000

The final draft of the thesis is available for download here.

Final contents are:

Chapter 1: Introduction
Chapter 2: Machine learning essentials
Chapter 3: Clustering and related issues
Chapter 4: Previous works on clustering
Chapter 5: Minimum Bregman Information principle for Co-clustering
Chapter 6: Support Vector Clustering
Chapter 7: Alternative Support Vector Methods for Clustering
Chapter 8: Support Vector Clustering software development
Chapter 9: Experiments
Chapter 10: Conclusion and Future Work
Appendix A: One Class classification via Support Vector Machines
Appendix B: Resource usage of the algorithms
Appendix C: Star/Galaxy separation via Support Vector Machines
Appendix D: Thesis Web Log
Bibliography

IMPORTANT: the file name is changed, the links in the previous posts are broken. Download the thesis from this post or from the Documents page.

Downloads

Changelog download – Thesis download

Stesura tesi – Bozza RC2 19/01

vincenzo russo — Sat, 19 Jan 2008 17:57:44 +0000

RC2 draft of the thesis. Contents are completed and read by the supervisor, prof. Anna Corazza.

Downloads

Changelog download – Thesis download

Stesura tesi – Bozza RC1 16/01

vincenzo russo — Thu, 17 Jan 2008 00:38:12 +0000

RC1 draft of the thesis. Contents are

Chapter 1: Introduction
Chapter 2: Machine learning essentials
Chapter 3: Clustering and related issues
Chapter 4: Previous works on clustering
Chapter 5: Minimum Bregman Information principle for Co-clustering
Chapter 6: Support Vector Clustering
Chapter 7: Alternative Support Vector Methods for Clustering
Chapter 8: Support Vector Clustering software development
Chapter 9: Experiments (only overall conclusion missing)
Chapter 10: Conclusion and Future Work
Appendix A: One Class classification via Support Vector Machines
Appendix B: Resources usage of the algorithms
Appendix C: Star/Galaxy separation via Support Vector Machines
Appendix D: Thesis Web Log
Bibliography

Downloads

Changelog download – Thesis download

Stesura tesi – Bozza pre-finale 06/01

vincenzo russo — Mon, 07 Jan 2008 00:24:08 +0000

Pre-final draft of thesis. Contents are (in bold new contents and updated ones)

Chapter 1: Introduction
Chapter 2: Machine learning essentials
Chapter 3: Clustering and related issues
Chapter 4: Previous works on clustering
Chapter 5: Minimum Bregman Information principle for Co-clustering
Chapter 6: Support Vector Clustering
Chapter 7: Alternative Support Vector Methods for Clustering
Chapter 8: Support Vector Clustering software development
Chapter 9: Experiments (Incomplete, Text Clustering results missing)
Chapter 10: Conclusion and Future Work
Appendix A: One Class classification via Support Vector Machines
Appendix B: Resources usage of the algorithms
Appendix C: Star/Galaxy separation via Support Vector Machines
Appendix D: Thesis Web Log
Bibliography

Downloads

Changelog download – Thesis download

Stesura tesi – Ottava bozza 24/12

vincenzo russo — Mon, 24 Dec 2007 16:14:49 +0000

Eight draft of thesis. Contents are (in bold new contents)

Chapter 1: Introduction
Chapter 2: Machine learning essentials
Chapter 3: Clustering and related issues
Chapter 4: Previous works on clustering
Chapter 5: Minimum Bregman Information principle for Co-clustering
Chapter 6: Support Vector Clustering
Chapter 7: Alternative Support Vector Methods for Clustering
Chapter 8: Support Vector Clustering software development
Chapter 9: Experiments (Incomplete, only two experimental stages out of 5)
Chapter 10: Conclusion and Future Work
Appendix A: One Class classification via Support Vector Machines
Appendix B: Resources usage of the algorithms
Appendix C: Thesis Web Log
Bibliography

Downloads

Changelog download – Thesis download

Stesura tesi – Settima bozza 20/12

vincenzo russo — Thu, 20 Dec 2007 12:11:32 +0000

Seventh draft of thesis. Contents are (in bold new contents)

Chapter 1: Introduction
Chapter 2: Machine learning essentials
Chapter 3: Clustering and related issues
Chapter 4: Previous works on clustering
Chapter 5: Minimum Bregman Information principle for Co-clustering
Chapter 6: Support Vector Clustering
Chapter 7: Alternative Support Vector Methods for Clustering
Chapter 8: Support Vector Clustering software development
Chapter 9: Experiments (Incomplete, only two experimental stages out of 5)
Chapter 10: Conclusion and Future Work
Appendix A: One Class classification via Support Vector Machines
Appendix B: Time and space consume (to be completed)
Appendix C: Thesis Web Log
Bibliography

Downloads

Changelog download – Thesis download

Stesura tesi – Sesta bozza 14/11

vincenzo russo — Wed, 14 Nov 2007 20:26:36 +0000

Sixth draft of thesis. Contents are (in bold new contents)

Chapter 1: Introduction
Chapter 2: Machine learning essentials
Chapter 3: Clustering and related issues
Chapter 4: Previous works on clustering
Chapter 5: Minimum Bregman Information principle for Co-clustering
Chapter 6: Support Vector Clustering
Chapter 7: Alternative Support Vector Methods for Clustering
Chapter 9: Support Vector Clustering software development
Chapter 10: Conclusion and Future Work
Appendix A: One Class classification via Support Vector Machines
Appendix B: Thesis Web Log
Bibliography

Downloads

Changelog download – Thesis download

Thesis Neminis » Thesis

Thesis and Talk

Final Mark

Master degree received. Final mark: 110/110 Cum Laude.

Final talk

Thesis – Final Draft

Stesura tesi – Bozza RC2 19/01

Stesura tesi – Bozza RC1 16/01

Stesura tesi – Bozza pre-finale 06/01

Stesura tesi – Ottava bozza 24/12

Stesura tesi – Settima bozza 20/12

Stesura tesi – Sesta bozza 14/11

Master degree received.
Final mark: 110/110 Cum Laude.