منابع مشابه
To Ignore or Explore: Top-Down Modulation of Novelty Processing
Abstract Attending to novelty is a critical element of human behavior and learning. Novel events can serve as task-irrelevant distracters or as potential sources of engagement by interesting or important aspects of one's environment. An optimally functioning brain should have the capacity to respond differentially to novel events depending on the circumstances in which they occur. In the presen...
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The ability of a classifier to recognize unknown inputs is important for many classification-based systems. We discuss the problem of simultaneous classification and novelty detection, i.e. determining whether an input is from the known set of classes and from which specific class, or from an unknown domain and does not belong to any of the known classes. We propose a method based on the Genera...
متن کاملNovelty and Adaptive Novelty
In this paper we briefly describe Novelty and Adaptive Novelty, two high-performance, stochastic local search (SLS) algorithms for SAT. Based on the WalkSAT architecture, these algorithms combine search intensification and diversification feautures that lead to good peformance on a broad range of SAT instances. The performance of the Novelty algorithm critically depends on the setting of a soca...
متن کاملAuditory novelty oddball allows reliable distinction of top-down and bottom-up processes of attention.
An auditory novelty-oddball task, which is known to evoke a P3 event-related potential (ERP) in a target condition and a novelty-P3 ERP in response to task-irrelevant unique environmental sounds, was repeatedly applied to healthy participants (n = 14) on two separate recording sessions, 7 days apart. Both target-P3 and novelty-P3 were internally consistent and test-retest reliable. Interestingl...
متن کاملRobust Novelty Detection with Single-Class MPM
Michael I. Jordan Computer Science and Statistics, V.C. Berkeley jordan@cs. berkeley. edu In this paper we consider the problem of novelty detection, presenting an algorithm that aims to find a minimal region in input space containing a fraction 0: of the probability mass underlying a data set. This algorithmthe "single-class minimax probability machine (MPM)" is built on a distribution-free me...
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ژورنال
عنوان ژورنال: Nature
سال: 1998
ISSN: 0028-0836,1476-4687
DOI: 10.1038/29655