Browsing by Subject "Learning algorithms"
Now showing items 117 of 17

Article
Analysis of neuromuscular disorders using statistical and entropy metrics on surface EMG
(2008)This paper introduces the surface electromyogram (EMG) classification system based on statistical and entropy metrics. The system is intended for diagnostic use and enables classification of examined subject as normal, ...

Article
Assessment of stroke risk based on morphological ultrasound image analysis with conformal prediction
(2010)Noninvasive ultrasound imaging of carotid plaques allows for the development of plaque image analysis in order to assess the risk of stroke. In our work, we provide reliable confidence measures for the assessment of stroke ...

Conference Object
Comparative analysis of artificial neural network models: Application in bankruptcy prediction
(IEEE, 1999)This study compares the predictive performance of three neural network methods, namely the Learning Vector Quantization, Radial Basis Function, the Feedforward network that uses the conjugate gradient optimization algorithm, ...

Conference Object
Deriving quantitative structureactivity relationship models using genetic programming for drug discovery
(2008)Genetic Programming is a heuristic search algorithm inspired by evolutionary techniques that has been shown to produce satisfactory solutions to problems related to several scientific domains [1]. Presented here is a ...

Article
Evaluation of the risk of stroke with confidence predictions based on ultrasound carotid image analysis
(2012)Conformal Predictors (CPs) are Machine Learning algorithms that can provide reliable confidence measures to their predictions. In this work, we make use of the Conformal Prediction framework for the assessment of stroke ...

Article
An extension of a hierarchical reinforcement learning algorithm for multiagent settings
(2012)This paper compares and investigates singleagent reinforcement learning (RL) algorithms on the simple and an extended taxi problem domain, and multiagent RL algorithms on a multiagent extension of the simple taxi problem ...

Article
Learning nonmonotonic logic programs: Learning exceptions
(1995)In this paper we present a framework for learning nonmonotonic logic programs. The method is parametric on a classical learning algorithm whose generated rules are to be understood as default rules. This means that these ...

Conference Object
Multi feature texture analysis for the classification of carotid plaques
(IEEE, 1999)The objective of this work was to develop a computer aided system which will facilitate the automated characterization of carotid plaques recorded from high resolution ultrasound images for the identification of individuals ...

Article
Multiagent reinforcement learning: Spiking and nonspiking agents in the Iterated Prisoner's Dilemma
(2011)This paper investigates multiagent reinforcement learning (MARL) in a generalsum game where the payoffs' structure is such that the agents are required to exploit each other in a way that benefits all agents. The contradictory ...

Conference Object
Near optimal wireless data broadcasting based on an unsupervised neural network learning algorithm
(2001)Wireless Data Broadcasting (WDB) is proven to be an efficient information delivery mechanism of nearly unlimited scalability. However, successful performance of a WDB based system is not always guaranteed  it strongly ...

Conference Object
New technique for the classification and decomposition of EMG signals
(IEEE, 1995)The shapes and firing rates of motor unit action potentials (MUAPs) in an electromyographic (EMG) signal provide an important source of information for the diagnosis of neuromuscular disorders. In order to extract this ...

Article
Protein secondary structure prediction with bidirectional recurrent neural nets: Can weight updating for each residue enhance performance?
(2010)Successful protein secondary structure prediction is an important step towards modelling protein 3D structure, with several practical applications. Even though in the last four decades several PSSP algorithms have been ...

Conference Object
Scalable and dynamic global power management for multicore chips
(Association for Computing Machinery, 2015)The design for continuous computer performance is increasingly becoming limited by the exponential increase in the power consumption. In order to improve the energy efficiency of multicore chips, we propose a novel global ...

Article
Toward automated generation of parametric BIMs based on hybrid video and laser scanning data
(2010)Only very few constructed facilities today have a complete record of asbuilt information. Despite the growing use of Building Information Modelling and the improvement in asbuilt records, several more years will be ...

Article
Training bidirectional recurrent neural network architectures with the scaled conjugate gradient algorithm
(2016)Predictions on sequential data, when both the upstream and downstream information is important, is a difficult and challenging task. The Bidirectional Recurrent Neural Network (BRNN) architecture has been designed to deal ...

Conference Object
Variable target values neural network for dealing with extremely imbalanced datasets
(Springer Verlag, 2016)An original classification algorithm is proposed for dealing with extremely imbalanced datasets that often appear in biomedical problems. Its originality comes from the way a neural network is trained in order to get a ...

Article
Web robot detection: A probabilistic reasoning approach
(2009)In this paper, we introduce a probabilistic modeling approach for addressing the problem of Web robot detection from Webserver access logs. More specifically, we construct a Bayesian network that classifies automatically ...