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Filtering by: Logistics Subject Logistic regression analysis

Exploiting monotonicity via logistic regression in Bayesian network learning

Creator:

Restificar, Angelo C., Dietterich, Thomas Glen, and Oregon State University. Department of Computer Science

Abstract:

An important challenge in machine learning is to find ways of learning quickly from very small amounts of training data. The only way to learn from small data samples is to constrain the learning process by exploiting background knowledge. In this report, we present a theoretical analysis on the use...

Resource Type:

Technical Report

Full Text:

n1clr.dvi Exploiting Monotonicity via Logistic Regression in