𝔖 Bobbio Scriptorium
✦   LIBER   ✦

[Lecture Notes in Computer Science] Advances in Neural Networks – ISNN 2012 Volume 7367 || Preventing Error Propagation in Semi-supervised Learning

✍ Scribed by Wang, Jun; Yen, Gary G.; Polycarpou, Marios M.

Book ID
118022047
Publisher
Springer Berlin Heidelberg
Year
2012
Tongue
English
Weight
716 KB
Edition
1
Category
Article
ISBN
3642313469

No coin nor oath required. For personal study only.

✦ Synopsis

The two-volume set LNCS 7367 and 7368 constitutes the refereed proceedings of the 9th International Symposium on Neural Networks, ISNN 2012, held in Shenyang, China, in July 2012. The 147 revised full papers presented were carefully reviewed and selected from numerous submissions. The contributions are structured in topical sections on mathematical modeling; neurodynamics; cognitive neuroscience; learning algorithms; optimization; pattern recognition; vision; image processing; information processing; neurocontrol; and novel applications.

📜 SIMILAR VOLUMES

[Lecture Notes in Computer Science] Adva
[Lecture Notes in Computer Science] Advances in Neural Networks — ISNN 2005 Volume 3496 || Guided GA-ICA Algorithms
✍ Wang, Jun; Liao, Xiaofeng; Yi, Zhang 📂 Article 📅 2005 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 160 KB

The Three Volume Set Lncs 3496/3497/3498 Constitutes The Refereed Proceedings Of The Second International Symposium On Neural Networks, Isnn 2005, Held In Chongqing, China In May/june 2005. The 483 Revised Papers Presented Were Carefully Reviewed And Selected From 1.425 Submissions. The Papers Are O

[Lecture Notes in Computer Science] Adva
[Lecture Notes in Computer Science] Advances in Neural Networks - ISNN 2006 Volume 3971 || Cooperative Clustering for Training SVMs
✍ Wang, Jun; Yi, Zhang; Zurada, Jacek M.; Lu, Bao-Liang; Yin, Hujun 📂 Article 📅 2006 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 194 KB

This is Volume I of a three volume set constituting the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006. 616 revised papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, mod