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CIDM
2007
IEEE
14 years 1 months ago
Efficient Kernel-based Learning for Trees
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
ECAI
2006
Springer
14 years 21 days ago
Resolving Conflicts in Action Descriptions
Abstract. We study resolving conflicts between an action description and a set of conditions (possibly obtained from observations), in the context of action languages. In this form...
Thomas Eiter, Esra Erdem, Michael Fink, Ján...
ESWS
2008
Springer
13 years 10 months ago
Entity Identifiers for Lineage Preservation
Abstract. The generation of entity identifiers is a key issue in the context of semantic web technologies. Entity identifiers are needed when we perform any kind of operation (e.g....
Julien Gaugaz, Gianluca Demartini
AAAI
2010
13 years 10 months ago
Dealing with Infinite Loops, Underestimation, and Overestimation of Depth-First Proof-Number Search
Depth-first proof-number search (df-pn) is powerful AND/OR tree search to solve positions in games. However, df-pn has a notorious problem of infinite loops when applied to domain...
Akihiro Kishimoto
NIPS
2008
13 years 10 months ago
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
Francis Bach