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» A New Approximate Maximal Margin Classification Algorithm
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ICML
2005
IEEE
16 years 13 days ago
A model for handling approximate, noisy or incomplete labeling in text classification
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Ra...
CVPR
2009
IEEE
16 years 6 months ago
Max-Margin Hidden Conditional Random Fields for Human Action Recognition
We present a new method for classification with structured latent variables. Our model is formulated using the max-margin formalism in the discriminative learning literature. We...
Yang Wang 0003, Greg Mori
SENSYS
2003
ACM
15 years 4 months ago
Minimal and maximal exposure path algorithms for wireless embedded sensor networks
Sensor networks not only have the potential to change the way we use, interact with, and view computers, but also the way we use, interact with, and view the world around us. In o...
Giacomino Veltri, Qingfeng Huang, Gang Qu, Miodrag...
83
Voted
TSP
2008
86views more  TSP 2008»
14 years 11 months ago
Fixed-Complexity Soft MIMO Detection via Partial Marginalization
Abstract--This paper presents a new approach to soft demodulation for MIMO channels. The proposed method is an approximation to the exact a posteriori probability-per-bit computer....
Erik G. Larsson, Joakim Jalden
133
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SIGIR
2011
ACM
14 years 2 months ago
Utilizing marginal net utility for recommendation in e-commerce
Traditional recommendation algorithms often select products with the highest predicted ratings to recommend. However, earlier research in economics and marketing indicates that a ...
Jian Wang, Yi Zhang