85 downloads
142 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.27225v2
44 downloads
109 views

Conferences with contributed talks grouped into multiple concurrent sessions pose an interesting scheduling problem. From an attendee's perspective, choosing which talks to visit when there are many concurrent sessions is challenging since an individual may be...

["Artificial Intelligence","Data Mining and Machine Learning"]
doi:10.7287/peerj.preprints.27496v1
85 downloads
319 views

We address the problem of inferring the causal direction between two variables by comparing the least-squares errors of the predictions in both possible directions. Under the assumption of an independence between the function relating cause and effect, the conditional...

["Artificial Intelligence","Data Mining and Machine Learning"]
doi:10.7717/peerj-cs.169
60 downloads
210 views

We present a study on co-authorship network representation based on network embedding together with additional information on topic modeling of research papers and new edge embedding operator. We use the link prediction (LP) model for constructing a recommender...

["Artificial Intelligence","Data Mining and Machine Learning","Digital Libraries","Network Science and Online Social Networks","World Wide Web and Web Science"]
doi:10.7717/peerj-cs.172
57 downloads
80 views

This paper provides a unifying review of some recent approaches of decomposing data, images, and signals into sets of components. We start from the classical algebraic method of singular value decomposition and then introduce principal and independent component...

["Artificial Intelligence","Computer Vision","Data Mining and Machine Learning","Data Science"]
doi:10.7287/peerj.preprints.27456v1
49 downloads
109 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
108 downloads
146 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
55 downloads
90 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
188 downloads
669 views

A learning algorithm is proposed for the task of Arabic Handwritten Character and Digit recognition. The architecture consists on an ensemble of different Convolutional Neural Networks. The proposed training algorithm uses a combination of adaptive gradient descent...

["Algorithms and Analysis of Algorithms","Artificial Intelligence","Computer Vision","Data Mining and Machine Learning"]
doi:10.7717/peerj-cs.167
63 downloads
101 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
64 downloads
93 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
27 downloads
79 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
124 downloads
279 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
451 downloads
799 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
2 citations
895 downloads
2,459 views

Cervical cancer remains a significant cause of mortality all around the world, even if it can be prevented and cured by removing affected tissues in early stages. Providing universal and efficient access to cervical screening programs is a challenge that requires...

["Bioinformatics","Computational Biology","Artificial Intelligence","Data Mining and Machine Learning"]
doi:10.7717/peerj-cs.154

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