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AI
2002
Springer
13 years 9 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
PVLDB
2010
128views more  PVLDB 2010»
13 years 7 months ago
Update Rewriting and Integrity Constraint Maintenance in a Schema Evolution Support System: PRISM++
Supporting legacy applications when the database schema evolves represents a long-standing challenge of practical and theoretical importance. Recent work has produced algorithms a...
Carlo Curino, Hyun Jin Moon, Alin Deutsch, Carlo Z...
IEEEPACT
2008
IEEE
14 years 3 months ago
Feature selection and policy optimization for distributed instruction placement using reinforcement learning
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
Katherine E. Coons, Behnam Robatmili, Matthew E. T...
EVOW
2010
Springer
14 years 11 days ago
Towards Automated Learning of Object Detectors
Recognizing arbitrary objects in images or video sequences is a difficult task for a computer vision system. We work towards automated learning of object detectors from video seque...
Marc Ebner
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 10 months ago
Evolutionary swarm design of architectural idea models
In this paper we present a swarm grammar system that makes use of bio-inspired mechanisms of reproduction, communication and construction in order to build three-dimensional struc...
Sebastian von Mammen, Christian Jacob