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CIKM
2008
Springer
15 years 6 months ago
Error-driven generalist+experts (edge): a multi-stage ensemble framework for text categorization
We introduce a multi-stage ensemble framework, ErrorDriven Generalist+Expert or Edge, for improved classification on large-scale text categorization problems. Edge first trains a ...
Jian Huang 0002, Omid Madani, C. Lee Giles
133
Voted
ASPDAC
2005
ACM
100views Hardware» more  ASPDAC 2005»
15 years 6 months ago
Microarchitecture evaluation with floorplanning and interconnect pipelining
— As microprocessor technology continues to scale into the nanometer regime, recent studies show that interconnect delay will be a limiting factor for performance, and multiple c...
Ashok Jagannathan, Hannah Honghua Yang, Kris Konig...
DAC
2005
ACM
15 years 6 months ago
Prime clauses for fast enumeration of satisfying assignments to boolean circuits
Finding all satisfying assignments of a propositional formula has many applications in the design of hardware and software. An approach to this problem augments a clause-recording...
HoonSang Jin, Fabio Somenzi
IWCMC
2010
ACM
15 years 6 months ago
On the use of random neural networks for traffic matrix estimation in large-scale IP networks
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...
Pedro Casas, Sandrine Vaton
KDD
2010
ACM
287views Data Mining» more  KDD 2010»
15 years 6 months ago
Designing efficient cascaded classifiers: tradeoff between accuracy and cost
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu
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