منابع مشابه
Minimax robust decentralized detection
Decentralized detection problems are studied where the sensor distributions are not specified completely. The sensor distributions are assumed to belong to known uncertainty classes. It is shown for a broad class of such problems that a set of least favorable distributions exists for minimax robust testing between the hypotheses. It is hence established that the corresponding minimax robust tes...
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Minimax robust decentralized detection is studied for parallel sensor networks. Random variables corresponding to sensor observations are assumed to follow a distribution function, which belongs to an uncertainty class. It has been proven that, for some uncertainty classes, if all probability distributions are absolutely continuous with respect to a common measure, the joint stochastic boundedn...
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A sensor network is considered where a sequence of random variables is observed at each sensor. At each time step, a processed version of the observations is transmitted from the sensors to a common node called the fusion center. At some unknown point in time the distribution of the observations at all the sensor nodes changes. The objective is to detect this change in distribution as quickly a...
متن کاملRobust decentralized detection by asymptotically many sensors
We consider a decentralized hypothesis testing structure with asymptotically many sensors, each collecting a single datum. The sensors deploy robust test functions that are designed for outlier classes of hypotheses. The sensor outputs are transmitted to the fusion center for the global decision. In this paper, we concentrate on sensor-level decision making, and study the asymptotic performance...
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We formulate regression as maximizing the minimum probability (Ω) that the true regression function is within ±2 of the regression model. Our framework starts by posing regression as a binary classification problem, such that a solution to this single classification problem directly solves the original regression problem. Minimax probability machine classification (Lanckriet et al., 2002a) is u...
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ژورنال
عنوان ژورنال: IEEE Transactions on Information Theory
سال: 1994
ISSN: 0018-9448
DOI: 10.1109/18.272453