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HIS
2004
15 years 8 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
NIPS
2004
15 years 8 months ago
Adaptive Discriminative Generative Model and Its Applications
This paper presents an adaptive discriminative generative model that generalizes the conventional Fisher Linear Discriminant algorithm and renders a proper probabilistic interpret...
Ruei-Sung Lin, David A. Ross, Jongwoo Lim, Ming-Hs...
ICMAS
2000
15 years 8 months ago
Adaptive Agent Integration Architectures for Heterogeneous Team Members
Withthe proliferationof software agents and smart hardware devices there is a growing realization that large-scale problems can be addressed by integration of such standalone syst...
DAC
2010
ACM
15 years 6 months ago
Adaptive and autonomous thermal tracking for high performance computing systems
Many DTM schemes rely heavily on the accurate knowledge of the chip's dynamic thermal state to make optimal performance/ temperature trade-off decisions. This information is ...
Yufu Zhang, Ankur Srivastava
MOBICOM
2010
ACM
15 years 6 months ago
MIMO rate adaptation in 802.11n wireless networks
This paper studies MIMO based rate adaptation (RA) in 802.11n wireless networks. Our case study shows that existing RA algorithms offer much lower throughput than even a fixed-rat...
Ioannis Pefkianakis, Yun Hu, Starsky H. Y. Wong, H...