نتایج جستجو برای: extended classifier systems
تعداد نتایج: 1405343 فیلتر نتایج به سال:
In this paper Mathematical structure of time-dependent Lagrangian systems and their symmetries are extended and the explicit relation between constants of motion and infinitesimal symmetries of time-dependent Lagrangian systems are considered. Starting point is time-independent Lagrangian systems ,then we extend mathematical concepts of these systems such as equivalent lagrangian systems to th...
Biometric systems can be used for the identification or verification of humans based on their physiological or behavioral features. In these systems the biometric characteristics such as fingerprints, palm-print, iris or speech can be recorded and are compared with the samples for the identification or verification. Multimodal biometrics is more accurate and solves spoof attacks than the single...
Recently by developing the technology, the number of network-based servicesis increasing, and sensitive information of users is shared through the Internet.Accordingly, large-scale malicious attacks on computer networks could causesevere disruption to network services so cybersecurity turns to a major concern fornetworks. An intrusion detection system (IDS) could be cons...
EDITORIAL Editorial I t is a great pleasure and a great honor for me to introduce this new issue of SIGEVOlution that hosts an interview with Stewart W. Wilson. To me, Stewart is a mentor and a great friend. To our community, he is the person who, with XCS and XCSF, singlehandedly revolutionized learning classifier system research. In 1994, his paper on XCS in the Evolutionary Computation Journ...
In this paper we demonstrate approaches for opinion mining in Latvian text. Authors have applied, combined and extended results of several previous studies and public resources to perform opinion mining in Latvian text using two approaches, namely, semantic polarity analysis and machine learning. One of the most significant constraints that make application of opinion mining for written content...
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