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KDD
2010
ACM
287views Data Mining» more  KDD 2010»
13 years 7 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
SDM
2010
SIAM
218views Data Mining» more  SDM 2010»
13 years 6 months ago
Confidence-Based Feature Acquisition to Minimize Training and Test Costs
We present Confidence-based Feature Acquisition (CFA), a novel supervised learning method for acquiring missing feature values when there is missing data at both training and test...
Marie desJardins, James MacGlashan, Kiri L. Wagsta...
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
13 years 10 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
CORR
2008
Springer
98views Education» more  CORR 2008»
13 years 5 months ago
Information Acquisition and Exploitation in Multichannel Wireless Networks
A wireless system with multiple channels is considered, where each channel has several transmission states. A user learns about the instantaneous state of an available channel by ...
Sudipto Guha, Kamesh Munagala, Saswati Sarkar