[Lecture Notes in Computer Science] Machine Learning: ECML 2007 Volume 4701 || Clustering Trees with Instance Level Constraints

[Lecture Notes in Computer Science] Mach

[Lecture Notes in Computer Science] Machine Learning: ECML 2007 Volume 4701 || Approximating Gaussian Processes with ${\cal H}^2$ -Matrices

✍ Kok, Joost N.; Koronacki, Jacek; Mantaras, Raomon Lopez de; Matwin, Stan; Mladen 📂 Article 📅 2007 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 492 KB

The two premier annual European conferences in the areas of machine learning and data mining have been collocated ever since the ?rst joint conference in Freiburg, 2001. The European Conference on Machine Learning (ECML) traces its origins to 1986, when the ?rst European Working Session on Learning

[Lecture Notes in Computer Science] Mach

[Lecture Notes in Computer Science] Machine Learning: ECML 2007 Volume 4701 || Random k-Labelsets: An Ensemble Method for Multilabel Classification

✍ Kok, Joost N.; Koronacki, Jacek; Mantaras, Raomon Lopez de; Matwin, Stan; Mladen 📂 Article 📅 2007 🏛 Springer Berlin Heidelberg ⚖ 507 KB

[Lecture Notes in Computer Science] Mach

[Lecture Notes in Computer Science] Machine Learning: ECML 2003 Volume 2837 || Logistic Model Trees

✍ Lavrač, Nada; Gamberger, Dragan; Blockeel, Hendrik; Todorovski, Ljupčo 📂 Article 📅 2003 🏛 Springer Berlin Heidelberg ⚖ 180 KB

[Lecture Notes in Computer Science] Mach

[Lecture Notes in Computer Science] Machine Learning: ECML 2002 Volume 2430 || Multiclass Alternating Decision Trees

✍ Elomaa, Tapio; Mannila, Heikki; Toivonen, Hannu 📂 Article 📅 2002 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 176 KB

This book constitutes the refereed preceedings of the 13th European Conference on Machine Learning, ECML 2002, held in Helsinki, Finland in August 2002. The 41 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from numerous submissions. Among th

[Lecture Notes in Computer Science] Mach

[Lecture Notes in Computer Science] Machine Learning: ECML 2001 Volume 2167 || Backpropagation in Decision Trees for Regression

✍ De Raedt, Luc; Flach, Peter 📂 Article 📅 2001 🏛 Springer Berlin Heidelberg ⚖ 131 KB

[Lecture Notes in Computer Science] Mach

[Lecture Notes in Computer Science] Machine Learning: ECML 2002 Volume 2430 || Possibilistic Induction in Decision-Tree Learning

✍ Elomaa, Tapio; Mannila, Heikki; Toivonen, Hannu 📂 Article 📅 2002 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 206 KB

This book constitutes the refereed preceedings of the 13th European Conference on Machine Learning, ECML 2002, held in Helsinki, Finland in August 2002. The 41 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from numerous submissions. Among th