Benefits of Supplemental Ultrasonography With Mammography—Reply
نویسندگان
چکیده
منابع مشابه
The Benefits of Learning with Strongly Convex Approximate Inference *** Supplemental ***
Strong convexity can be characterized in a number of ways. The following facts provide some conditions that are equivalent to Definition 1. For the 2-norm, Fact 2 means that the minimum eigenvalue of the Hessian is lower-bounded by κ. Recall that˜µ(θ) and˜µ(θ) are the gradients of˜Φ(θ) and˜Φ(θ), respectively. Since the conjugate function, ˜ Φ * , is assumed to be κ-strongly convex, we have via ...
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ژورنال
عنوان ژورنال: JAMA Internal Medicine
سال: 2019
ISSN: 2168-6106
DOI: 10.1001/jamainternmed.2019.2376