Download PDF by Vineeth Balasubramanian,Shen-Shyang Ho,Vladimir Vovk: Conformal Prediction for Reliable Machine Learning: Theory,

By Vineeth Balasubramanian,Shen-Shyang Ho,Vladimir Vovk

The conformal predictions framework is a contemporary improvement in computer studying which could affiliate a competent degree of self assurance with a prediction in any real-world trend reputation program, together with risk-sensitive functions corresponding to scientific prognosis, face attractiveness, and fiscal chance prediction. Conformal Predictions for trustworthy computing device studying: conception, diversifications and Applications captures the elemental thought of the framework, demonstrates the way to use it on real-world difficulties, and provides a number of diversifications, together with energetic studying, swap detection, and anomaly detection. As practitioners and researchers worldwide follow and adapt the framework, this edited quantity brings jointly those our bodies of labor, offering a springboard for extra study in addition to a instruction manual for program in real-world problems.

  • Understand the theoretical foundations of this significant framework which could supply a competent degree of self belief with predictions in computer learning
  • Be capable of follow this framework to real-world difficulties in several computing device studying settings, together with category, regression, and clustering
  • Learn potent methods of adapting the framework to more moderen challenge settings, reminiscent of lively studying, version choice, or swap detection

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Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications by Vineeth Balasubramanian,Shen-Shyang Ho,Vladimir Vovk

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Categories: Machine Theory