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» Algorithms for Challenging Motif Problems
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146
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ASUNAM
2010
IEEE
15 years 2 months ago
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks
—The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Previous evolutionary based clustering methods try to maxi...
Francesco Folino, Clara Pizzuti
123
Voted
IJRR
2010
93views more  IJRR 2010»
15 years 2 months ago
Autonomous Helicopter Aerobatics through Apprenticeship Learning
Autonomous helicopter flight is widely regarded to be a highly challenging control problem. Despite this fact, human experts can reliably fly helicopters through a wide range of m...
Pieter Abbeel, Adam Coates, Andrew Y. Ng
114
Voted
PROCEDIA
2010
80views more  PROCEDIA 2010»
15 years 2 months ago
Visualising spins and clusters in regular and small-world Ising models with GPUs
Visualising computational simulation models of solid state physical systems is a hard problem for dense lattice models. Fly throughs and cutaways can aid viewer understanding of a...
Arno Leist, Daniel P. Playne, Kenneth A. Hawick
130
Voted
PVLDB
2010
120views more  PVLDB 2010»
15 years 2 months ago
Sampling the Repairs of Functional Dependency Violations under Hard Constraints
Violations of functional dependencies (FDs) are common in practice, often arising in the context of data integration or Web data extraction. Resolving these violations is known to...
George Beskales, Ihab F. Ilyas, Lukasz Golab
142
Voted
PRICAI
2010
Springer
15 years 1 months ago
Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification
Unlike traditional classification tasks, multilabel classification allows a sample to associate with more than one label. This generalization naturally arises the difficulty in cla...
Shuo Xiang, Songcan Chen, Lishan Qiao