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» Accurate Estimates without Calibration
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ICML
2005
IEEE
16 years 4 months ago
Augmenting naive Bayes for ranking
Naive Bayes is an effective and efficient learning algorithm in classification. In many applications, however, an accurate ranking of instances based on the class probability is m...
Harry Zhang, Liangxiao Jiang, Jiang Su
KDD
2001
ACM
359views Data Mining» more  KDD 2001»
16 years 4 months ago
Data mining techniques to improve forecast accuracy in airline business
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
Christoph Hueglin, Francesco Vannotti
HPCA
2008
IEEE
16 years 4 months ago
PaCo: Probability-based path confidence prediction
A path confidence estimate indicates the likelihood that the processor is currently fetching correct path instructions. Accurate path confidence prediction is critical for applica...
Kshitiz Malik, Mayank Agarwal, Vikram Dhar, Matthe...
MOBIHOC
2005
ACM
16 years 3 months ago
Sextant: a unified node and event localization framework using non-convex constraints
Determining node and event locations is a canonical task for many wireless network applications. Yet dedicated infrastructure for determining position information is expensive, en...
Emin Gün Sirer, Rohan Murty, Saikat Guha
INFOCOM
2009
IEEE
15 years 10 months ago
Distributed Opportunistic Scheduling With Two-Level Channel Probing
Distributed opportunistic scheduling (DOS) is studied for wireless ad-hoc networks in which many links contend for the channel using random access before data transmissions. Simpl...
P. S. Chandrashekhar Thejaswi, Junshan Zhang, Man-...