An Improved Boosting Algorithm for Machine Learning and Pattern Recognition
-- Better classification accuracy for any boosting technology-- May be readily integrated into current machine learning algorithms
-- Image processing and recognition-- MRI automated diagnosis; e.g. analyzing scans for irregularities such as tumors, fractures, blood clots-- Computer vision; automated driving, identifying obstacles, avoiding collisions-- Security technologies; identifying explosive material chemical signatures from spectroscopy data, identifying weapons on mm-Wave images-- Character and handwriting recognition-- Speech recognition-- Systems biology and drug discovery
A boosting algorithm for machine learning and pattern recognition that improves on existing algorithms (e.g., Adaboost) by attempting to minimize both the error and the variance in classification problemsIn machine learning, classificatio...
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