亞洲知識產權資訊網為知識產權業界提供一個一站式網上交易平台，協助業界發掘知識產權貿易商機，並與環球知識產權業界建立聯繫。無論你是知識產權擁有者正在出售您的知識產權，或是製造商需要購買技術以提高操作效能，又或是知識產權配套服務供應商，你將會從本網站發掘到有用的知識產權貿易資訊。

返回搜索結果

An Improved Boosting Algorithm for Machine Learning and Pattern Recognition

技術優勢: -- Better classification accuracy for any boosting technology-- May be readily integrated into current machine learning algorithms

技術應用: -- 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

詳細技術說明: 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...

*Inquiry: Calvin ChuColumbia Technology VenturesTel: (212) 854-8444Email: TechTransfer@columbia.edu

*Publications: -- Shivaswamy, P.K. and T. Jebara. "Empirical Bernstein Boosting." Thirteenth International Conference on Artificial Intelligence and Statistics, AISTATs, May 2010. -- Shivaswamy P.K. and T. Jebara. "Variance Penalizing AdaBoost." Neural Information Processing Systems (NIPS), December 2011.

欲了解更多信息，請點擊這裡