Sciweavers

1614 search results - page 23 / 323
» Learning Rules and Their Exceptions
Sort
View
MFCS
2009
Springer
15 years 2 months ago
Towards a Dichotomy of Finding Possible Winners in Elections Based on Scoring Rules
Abstract. To make a joint decision, agents (or voters) are often required to provide their preferences as linear orders. To determine a winner, the given linear orders can be aggre...
Nadja Betzler, Britta Dorn
JCSS
2010
112views more  JCSS 2010»
14 years 8 months ago
Towards a dichotomy for the Possible Winner problem in elections based on scoring rules
To make a joint decision, agents (or voters) are often required to provide their preferences as linear orders. To determine a winner, the given linear orders can be aggregated acc...
Nadja Betzler, Britta Dorn
HIS
2008
14 years 11 months ago
Neural Plasticity and Minimal Topologies for Reward-Based Learning
Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...
Andrea Soltoggio
ICDM
2003
IEEE
141views Data Mining» more  ICDM 2003»
15 years 2 months ago
Association Rule Mining in Peer-to-Peer Systems
We extend the problem of association rule mining – a key data mining problem – to systems in which the database is partitioned among a very large number of computers that are ...
Ran Wolff, Assaf Schuster
PAKDD
1999
ACM
113views Data Mining» more  PAKDD 1999»
15 years 1 months ago
Characterization of Default Knowledge in Ripple Down Rules Method
Abstract. \Ripple Down Rules (RDR)" Method is one of the promising approaches to directly acquire and encode knowledge from human experts. It requires data to be supplied incr...
Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Tak...