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IJCNN
2008
IEEE
15 years 4 months ago
Cognitive learning and the multimodal memory game: Toward human-level machine learning
— Machine learning has made great progress during the last decades and is being deployed in a wide range of applications. However, current machine learning techniques are far fro...
Byoung-Tak Zhang
CLUSTER
2007
IEEE
15 years 1 months ago
Identifying energy-efficient concurrency levels using machine learning
Abstract-- Multicore microprocessors have been largely motivated by the diminishing returns in performance and the increased power consumption of single-threaded ILP microprocessor...
Matthew Curtis-Maury, Karan Singh, Sally A. McKee,...
ACL
2006
14 years 11 months ago
Using Machine Learning to Explore Human Multimodal Clarification Strategies
We investigate the use of machine learning in combination with feature engineering techniques to explore human multimodal clarification strategies and the use of those strategies ...
Verena Rieser, Oliver Lemon
IPPS
2002
IEEE
15 years 2 months ago
Scheduling Multiple Data Visualization Query Workloads on a Shared Memory Machine
Query scheduling plays an important role when systems are faced with limited resources and high workloads. It becomes even more relevant for servers applying multiple query optimi...
Henrique Andrade, Tahsin M. Kurç, Alan Suss...
ICML
2002
IEEE
15 years 10 months ago
Cranking: Combining Rankings Using Conditional Probability Models on Permutations
A new approach to ensemble learning is introduced that takes ranking rather than classification as fundamental, leading to models on the symmetric group and its cosets. The approa...
Guy Lebanon, John D. Lafferty