Establishing the UCB graft potentiality
نویسندگان
چکیده
منابع مشابه
Ucb
Much of our work has focused on the design and implementation of a Unix Consultant (UC) program. This system carries out a dialog in English to answer user 's queries about the UNIX operating system. UC comprises a natural language parsing and generation system, a goal analyzer that hypothesizes user 's goals in different contexts, a user model component that allows UC to tailor answers to the ...
متن کاملThe role of the graft in establishing tolerance.
At the present time, clinical solid organ transplantation continues to rely on the use of non-specific immunosuppressive protocols in order to prevent graft rejection. However, these regimens bring with them complications related both to the global immunosuppression that they cause, and to toxicity related to individual drugs. The pursuit of protocols that will allow graft-specific tolerance th...
متن کاملAccelerating AdaBoost using UCB
This paper explores how multi-armed bandits (MABs) can be applied to accelerate AdaBoost. AdaBoost constructs a strong classifier in a stepwise fashion by adding simple base classifiers to a pool and using their weighted “vote” to determine the final classification. We model this stepwise base classifier selection as a sequential decision problem, and optimize it with MABs. Each arm represents ...
متن کاملThresholding Bandits with Augmented UCB
In this paper we propose the Augmented-UCB (AugUCB) algorithm for a fixed-budget version of the thresholding bandit problem (TBP), where the objective is to identify a set of arms whose quality is above a threshold. A key feature of AugUCB is that it uses both mean and variance estimates to eliminate arms that have been sufficiently explored; to the best of our knowledge this is the first algor...
متن کاملUCB Algorithm for Exponential Distributions
We introduce in this paper a new algorithm for Multi-Armed Bandit (MAB) problems. A machine learning paradigm popular within Cognitive Network related topics (e.g., Spectrum Sensing and Allocation). We focus on the case where the rewards are exponentially distributed, which is common when dealing with Rayleigh fading channels. This strategy, named Multiplicative Upper Confidence Bound (MUCB), a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Blood
سال: 2016
ISSN: 0006-4971,1528-0020
DOI: 10.1182/blood-2016-03-706242