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GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
13 years 8 months ago
Towards incremental social learning in optimization and multiagent systems
Social learning is a mechanism that allows individuals to acquire knowledge from others without incurring the costs of acquiring it individually. Individuals that learn socially c...
Marco Antonio Montes de Oca, Thomas Stützle
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
11 years 10 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
CHI
2010
ACM
14 years 11 days ago
What's your idea?: a case study of a grassroots innovation pipeline within a large software company
Establishing a grassroots innovation pipeline has come to the fore as strategy for nurturing innovation within large organizations. A key element of such pipelines is the use of a...
Brian P. Bailey, Eric Horvitz
ICASSP
2010
IEEE
13 years 7 months ago
Vocabulary and language model adaptation using just one speech file
This paper investigates unsupervised vocabulary and language model self-adaptation (VLA) from just one speech file using the web as a knowledge source and without prior knowledge...
Sha Meng, Kishan Thambiratnam, Yimeng Lin, Lifang ...
ATAL
2008
Springer
13 years 9 months ago
The identification of users by relational agents
Virtual agents designed to establish relationships with more than one user must be able to identify and distinguish among those users with high reliability. We descr...
Daniel Schulman, Mayur Sharma, Timothy W. Bickmore