Unsupervised learning for identifying events in active target experiments
نویسندگان
چکیده
منابع مشابه
High-Dimensional Unsupervised Active Learning Method
In this work, a hierarchical ensemble of projected clustering algorithm for high-dimensional data is proposed. The basic concept of the algorithm is based on the active learning method (ALM) which is a fuzzy learning scheme, inspired by some behavioral features of human brain functionality. High-dimensional unsupervised active learning method (HUALM) is a clustering algorithm which blurs the da...
متن کاملUnsupervised Clustering Methods for Identifying Rare Events in Anomaly Detection
It is important problems to increase the detection rates and reduce false positive rates in Intrusion Detection System (IDS). Although preventative techniques such as access control and authentication attempt to prevent intruders, these can fail, and as a second line of defence, intrusion detection has been introduced. Rare events are events that occur very infrequently, detection of rare event...
متن کاملExperiments in Unsupervised Learning of Natural Language
Linguistics has invented and discarded many theories of language, and there are currently many competitors to the basic idea of phrase structure grammars as capturing the syntactic structure of language. Computational Linguistics has proven to be a testing ground for theories and grammars, and is similarly diverse. Moreover recently we have learnt that the similar principles and techniques may ...
متن کاملActive and Unsupervised Learning for A
State-of-the-art speech recognition systems are trained using human transcriptions of speech utterances. In this paper, we describe a method to combine active and unsupervised learning for automatic speech recognition (ASR). The goal is to minimize the human supervision for training acoustic and language models and to maximize the performance given the transcribed and untranscribed data. Active...
متن کاملIdentifying Uncertain Galaxy Morphologies Using Unsupervised Learning
With the onset of massive cosmological data collection through mediums such as the Sloan Digital Sky Survey (SDSS), galaxy classification has been accomplished for the most part with the help of citizen science communities like Galaxy Zoo. However, an analysis of one of the Galaxy Zoo morphological classification data sets has shown that a significant majority of all classified galaxies are, in...
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: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
سال: 2021
ISSN: 0168-9002
DOI: 10.1016/j.nima.2021.165461