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SGAI
2010
Springer
13 years 9 months ago
Induction of Modular Classification Rules: Using Jmax-pruning
The Prism family of algorithms induces modular classification rules which, in contrast to decision tree induction algorithms, do not necessarily fit together into a decision tree s...
Frederic T. Stahl, Max Bramer
SEMWEB
2010
Springer
13 years 9 months ago
Signal/Collect: Graph Algorithms for the (Semantic) Web
The Semantic Web graph is growing at an incredible pace, enabling opportunities to discover new knowledge by interlinking and analyzing previously unconnected data sets. This confr...
Philip Stutz, Abraham Bernstein, William Cohen
SEMWEB
2010
Springer
13 years 9 months ago
Optimising Ontology Classification
Abstract. Ontology classification--the computation of subsumption hierarchies for classes and properties--is one of the most important tasks for OWL reasoners. Based on the algorit...
Birte Glimm, Ian Horrocks, Boris Motik, Giorgos St...
SECON
2010
IEEE
13 years 9 months ago
Leveraging Cognitive Radios for Effective Communications over Water
Wireless communications over water may suffer from serious multipath fading due to strong specular reflections from conducting water surfaces. Cognitive radios enable dynamic spect...
Jian Tang, Li Zhang, Richard S. Wolff, Weiyi Zhang
PROPERTYTESTING
2010
13 years 9 months ago
Sublinear Algorithms in the External Memory Model
We initiate the study of sublinear-time algorithms in the external memory model [Vit01]. In this model, the data is stored in blocks of a certain size B, and the algorithm is char...
Alexandr Andoni, Piotr Indyk, Krzysztof Onak, Roni...
PPDP
2010
Springer
13 years 9 months ago
Tabling for transaction logic
Transaction Logic is a logic for representing declarative and procedural knowledge in logic programming, databases, and AI. It has been successful in areas as diverse as workflows...
Paul Fodor, Michael Kifer
PKDD
2010
Springer
125views Data Mining» more  PKDD 2010»
13 years 9 months ago
NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification
Abstract. Pattern-based classification has demonstrated its power in recent studies, but because the cost of mining discriminative patterns as features in classification is very ex...
Hyungsul Kim, Sangkyum Kim, Tim Weninger, Jiawei H...
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
13 years 9 months ago
Complexity Bounds for Batch Active Learning in Classification
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
Philippe Rolet, Olivier Teytaud
PIMRC
2010
IEEE
13 years 9 months ago
Bit-power loading algorithms based on Effective SINR Mapping techniques
Bit-Power Loading (BPL) algorithms are proposed based on Effective SINR Mapping (ESM) techniques. The ESM techniques used are the Exponential ESM (EESM) as well as the Mean Mutual ...
Ioannis Dagres, Natalia Miliou, Andreas Zalonis, A...
PIMRC
2010
IEEE
13 years 9 months ago
Frame Synchronization based on robust header recovery and Bayesian testing
Video transmission on wireless links usually requires some frame aggregation, so that the overhead due to the headers is not a too large percentage of the bit-stream. In such a sit...
Usman Ali, Michel Kieffer, Pierre Duhamel