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ICML
2004
IEEE
15 years 10 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
ICALT
2006
IEEE
15 years 3 months ago
Future Visions of Technology-Enhanced Professional Learning
The paper presents future visions of technologyenhanced professional learning as expressed in a panEuropean roadmapping activity. The paper introduces a new approach to developing...
Vana Kamtsiou, Ambjörn Naeve, Lampros K. Ster...
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
15 years 1 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh
GIS
2009
ACM
15 years 2 months ago
Machine learning approach to report prioritization with an application to travel time dissemination
This paper looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn ...
Piotr Szczurek, Bo Xu, Jie Lin, Ouri Wolfson
ECML
1998
Springer
15 years 1 months ago
Learning to Classify X-Ray Images Using Relational Learning
: Image understanding often requires extensive background knowledge. The problem addressed in this paper is such knowledge can be acquired. We discuss how relational machine learni...
Claude Sammut, Tatjana Zrimec