Preprints (not yet peer-reviewed)

39 downloads
95 views

Cognitive neuroscience is the study of how the human brain functions on tasks like decision making, language, perception and reasoning. Deep learning is a class of machine learning algorithms that use neural networks. They are designed to model the responses of...

["Algorithms and Analysis of Algorithms","Artificial Intelligence","Computational Linguistics","Data Mining and Machine Learning","Natural Language and Speech"]
doi:10.7287/peerj.preprints.27377v1
55 downloads
108 views

Conceptors are a recent development in the field of reservoir computing; they can be used to influence the dynamics of recurrent neural networks (RNNs), enabling generation of arbitrary patterns based on training data. Conceptors allow interpolation and extrapolation...

["Artificial Intelligence","Multimedia"]
doi:10.7287/peerj.preprints.27361v1
39 downloads
77 views

Machine learning is a field of study that uses computational and statistical techniques to enable computers to learn. When machine learning is applied, it functions as an instrument that can solve problems or expand knowledge about the surrounding world. Increasingly,...

["Artificial Intelligence","Computer Vision","Data Mining and Machine Learning","Data Science","Multimedia"]
doi:10.7287/peerj.preprints.27280v1
43 downloads
84 views

This paper focuses on the recognition of Activities of Daily Living (ADL) applying pattern recognition techniques to the data acquired by the accelerometer available in the mobile devices. The recognition of ADL is composed by several stages, including data acquisition,...

["Algorithms and Analysis of Algorithms","Artificial Intelligence","Data Mining and Machine Learning","Data Science","Mobile and Ubiquitous Computing"]
doi:10.7287/peerj.preprints.27225v1
41 downloads
71 views

Tags are evolvable labels that provide genetic programs a flexible mechanism for specification. Tags are used to label and refer to programmatic elements, such as functions or jump targets. However, tags differ from traditional, more rigid methods for handling...

["Adaptive and Self-Organizing Systems","Artificial Intelligence"]
doi:10.7287/peerj.preprints.27122v1
20 downloads
71 views

Remote homology detection is the problem of detecting homology in cases of low sequence similarity. It is a hard computational problem with no approach that works well in all cases. Methods based on profile hidden Markov models (HMM) often exhibit relatively higher...

["Bioinformatics","Artificial Intelligence","Data Mining and Machine Learning","Data Science"]
doi:10.7287/peerj.preprints.27111v1
118 downloads
266 views

The optimal selection of a natural reserve (OSRN) is an optimisation problem with a binary domain. To solve this problem the metaheuristic algorithm Particle Swarm Optimization (PSO) has been chosen. The PSO algorithm has been designed to solve problems in real...

["Adaptive and Self-Organizing Systems","Algorithms and Analysis of Algorithms","Artificial Intelligence","Autonomous Systems","Optimization Theory and Computation"]
doi:10.7287/peerj.preprints.26941v2
404 downloads
727 views

We propose a simple neural network model which can learn relation between sentences by passing their representations obtained from Long Short Term Memory(LSTM) through a Relation Network. The Relation Network module tries to extract similarity between multiple...

["Artificial Intelligence","Data Science","Natural Language and Speech"]
doi:10.7287/peerj.preprints.26847v2
60 downloads
124 views

We introduce SignalGP, a technique for creating digital organisms that harnesses the event-driven programming paradigm. These organisms can evolve to automatically react to signals from the environment or from other agents in a biologically-inspired manner. In...

["Adaptive and Self-Organizing Systems","Agents and Multi-Agent Systems","Artificial Intelligence"]
doi:10.7287/peerj.preprints.26921v1
112 downloads
184 views

Nowadays, there is a large number of machine learning models that could be used for various areas. However, different research targets are usually sensitive to the type of models. For a specific prediction target, the predictive accuracy of a machine learning model...

["Artificial Intelligence","Data Mining and Machine Learning","Data Science"]
doi:10.7287/peerj.preprints.26714v1
499 downloads
373 views

Background. Automatic contradiction detection or conflicting statements detection in text consists of identifying discrepancy, inconsistency and defiance in text and has several real world applications in questions and answering systems, multi-document summarization,...

["Artificial Intelligence","Computational Linguistics","Data Mining and Machine Learning","Data Science"]
doi:10.7287/peerj.preprints.26589v1
605 downloads
577 views

Background. Office of Academic Affairs (OAA), Office of Student Life (OSL) and Information Technology Helpdesk (ITD) are support functions within a university which receives hundreds of email messages on the daily basis. A large percentage of emails received by...

["Artificial Intelligence","Data Mining and Machine Learning","Natural Language and Speech"]
doi:10.7287/peerj.preprints.26531v1
109 downloads
246 views

Acoustic frog species classification has received much attention for its importance in assessing biodiversity. However, most previous frog call classification models are trained and tested using the data collected from the same area, which greatly limits the model's...

["Artificial Intelligence"]
doi:10.7287/peerj.preprints.26485v1
561 downloads
642 views

Background. Automated Essay Scoring (AES) is an area which falls at the intersection of computing and linguistics. AES systems conduct a linguistic analysis of a given essay or prose and then estimates the writing skill or the essay quality in the form a numeric...

["Artificial Intelligence","Computational Linguistics","Data Mining and Machine Learning"]
doi:10.7287/peerj.preprints.3518v1
876 downloads
1,909 views

Intelligence and consciousness have fascinated humanity for a long time and we have long sought to replicate this in machines. In this work we show some design principles for a compassionate and conscious artificial intelligence. We present a computational framework...

["Adaptive and Self-Organizing Systems","Agents and Multi-Agent Systems","Artificial Intelligence"]
doi:10.7287/peerj.preprints.3502v2
What is a PeerJ Preprint?

A PeerJ Preprint is a draft of an article, abstract, or poster that has not yet been peer-reviewed for formal publication. Submit a draft, incomplete, or final version of your work for free.

Submissions today can be approved by Editorial Staff and online in 24 hours.

Establish precedent. Solicit feedback. Publish updates.

Refine by manuscript type

Top subject areas - Preprints

Top subject areas - People

View all subject areas