Results 21 to 30 of about 6,722,404 (223)
Random projections as regularizers: learning a linear discriminant ensemble from fewer observations than dimensions [PDF]
, 2013 We examine the performance of an ensemble of randomly-projected Fisher Linear Discriminant classifiers, focusing on the case when there are fewer training observations than data dimensions.
Kabán, Ata, Durrant, Robert J.
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Learning with Pseudo-Ensembles
CoRR, 2014 To appear in Advances in Neural Information Processing Systems 27 (NIPS 2014), Advances in Neural Information Processing Systems 27, Dec ...
Philip Bachman +2 more
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Distributional Reinforcement Learning with Ensembles
Algorithms, 2020 It is well known that ensemble methods often provide enhanced performance in reinforcement learning. In this paper, we explore this concept further by using group-aided training within the distributional reinforcement learning paradigm. Specifically, we propose an extension to categorical reinforcement learning, where distributional learning targets ...
Björn Lindenberg +2 more
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Ensemble of SVMs for Incremental Learning [PDF]
, 2005 Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetting phenomenon, which results in loss of previously learned information. Learn++ have recently been introduced as an incremental learning algorithm.
Zeki Erdem +3 more
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Ensemble machine learning approach for electronic nose signal processing [PDF]
, 2022 Electronic nose (e-nose) systems have been reported to be used in many areas as rapid, low- cost, and non-invasive instruments. Especially in meat production and processing, e-nose system is a powerful tool to process volatile compounds as a unique ...
Farah Afian +4 more
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, 2000 This chapter contains sections titled: Introduction, Boosting and the Linear Programming Solution, υ-Algorithms, Experiments, Conclusion, Acknowledgments.
Raetsch, Gunnar +5 more
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Ensemble clustering via heuristic optimisation [PDF]
, 2010 This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel UniversityTraditional clustering algorithms have different criteria and biases, and there is no single algorithm that can be the best solution for a wide range of ...
Li, Jian
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Jazz Ensemble and Percussion Ensemble (2001 April)
, 2001 Bismarck State College Presents Jazz Ensemble and Percussion Ensemble under the Direction of Brad Stockert. Held on Sunday, April 8, 2001 at 7:30 p.m. in the Sidney J.
Bismarck State College Jazz Ensemble
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Wind Ensemble and Jazz Ensemble Concert (1970)
, 1970 Wind Ensemble and Jazz Ensemble Concert. Bismarck Junior College Department of Music. Wind Ensemble Director: Erv Ely. Collage Chorale Director: Cordell Bugbee. Location: S. J. Lee Auditorium. Time: 2:00 pm (Sunday)
Bismarck Junior College Wind Ensemble
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Infinite Ensemble Learning with Support Vector Machines [PDF]
, 2005 Ensemble learning algorithms such as boosting can achieve better performance by averaging over the predictions of base learners. However, existing algorithms are limited to combining only a finite number of base learners, and the generated ensemble is ...
Lin, Hsuan-Tien
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