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158
Adaptive online software aging prediction based on Machine Learning.
- IEEE/IFIP International Conference on Dependable Systems & Networks (DSN) 978-1-4244-7499-8 /10/$26.00 ©2010 IEEE 516 DSN 2010: Alonso
, 2010
"... Abstract ..."
Using machine learning for non-intrusive modeling and prediction of software aging
- IN: IEEE/IFIP NETWORK OPERATIONS & MANAGEMENT SYMPOSIUM (NOMS 2008
, 2008
"... The wide-spread phenomenon of software (running image) aging is known to cause performance degradation, transient failures or even crashes of applications. In this work we describe first a method for monitoring and modeling of performance degradation in SOA applications, particularly application ser ..."
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Cited by 17 (3 self)
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machine learning (classification) algorithms can be used for proactive detection of performance degradation or sudden drops caused by aging. We leverage the predictive power of these algorithms with several techniques to make the measurement-based aging models more adaptive and more robust against
An Adaptive Ensemble of On-line Extreme Learning Machines with Variable Forgetting Factor for Dynamic System Prediction
"... A demand for predictive models for on-line estimation of variables is increasing in industry. As industrial processes are time-varying, on-line learning algorithms should be adaptive to capture process changes. On-line ensemble methods have been shown to provide better generalization performance tha ..."
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A demand for predictive models for on-line estimation of variables is increasing in industry. As industrial processes are time-varying, on-line learning algorithms should be adaptive to capture process changes. On-line ensemble methods have been shown to provide better generalization performance
Adaptive Identification and Predictive Control Using an Improved On-Line Sequential Extreme Learning Machine
"... Abstract—This paper proposes a method for adaptive identifi-cation and predictive control using an online sequential extreme learning machine based on the recursive partial least-squares method (OS-ELM-RPLS). OL-ELM-RPLS is an improvement to the online sequential extreme learning machine based on re ..."
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Abstract—This paper proposes a method for adaptive identifi-cation and predictive control using an online sequential extreme learning machine based on the recursive partial least-squares method (OS-ELM-RPLS). OL-ELM-RPLS is an improvement to the online sequential extreme learning machine based
Evolving Fuzzy Neural Networks for Supervised/Unsupervised On-Line Knowledge-Based Learning
- IEEE TRANSACTIONS ON SYSTEMS, MAN AND CYBERNETICS
, 2001
"... The paper introduces evolving fuzzy neural networks (EFuNNs) as a means for the implementation of the evolving connectionist systems (ECOS) paradigm that is aimed at building on-line, adaptive intelligent systems that have both their structure and functionality evolving in time. EFuNNs evolve their ..."
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Cited by 36 (5 self)
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for time series prediction and spoken word classification. Their performance is compared with traditional connectionist methods and systems. The applicability of EFuNNs as general purpose on- line learning machines is discussed what concerns systems that learn from large databases, life-long learning
Self-determination and persistence in a real-life setting: Toward a motivational model of high school dropout.
- Journal of Personality and Social Psychology,
, 1997
"... The purpose of this study was to propose and test a motivational model of high school dropout. The model posits that teachers, parents, and the school administration's behaviors toward students influence students' perceptions of competence and autonomy. The less autonomy supportive the so ..."
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Cited by 183 (19 self)
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, in press). The present results add to this literature by showing that motivation can also help predict behavioral consequences. These findings are in line with recent research of Vallerand and Bissonnette (1992), which also showed that motivation assessed early in the academic semester can predict future
Predictive Software
"... We examine the adaptation of classical machine learning selection criteria to ensure or improve the predictiveness of specifications. Moreover, inspired in incremental learning, software construction is also seen as an incremental process which must generate and revise the specification with the mai ..."
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We examine the adaptation of classical machine learning selection criteria to ensure or improve the predictiveness of specifications. Moreover, inspired in incremental learning, software construction is also seen as an incremental process which must generate and revise the specification
Terrain segmentation with on-line mixtures of experts for autonomous robot navigation
- in Multiple Classifier Systems, ser. Lecture Notes in Computer Science (LNCS
, 2009
"... Abstract. We describe an on-line machine learning ensemble technique, based on an adaptation of the mixture of experts (ME) model, for predicting terrain in autonomous outdoor robot navigation. Binary linear models, trained on-line on images seen by the robot at different points in time, are added t ..."
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Cited by 2 (1 self)
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Abstract. We describe an on-line machine learning ensemble technique, based on an adaptation of the mixture of experts (ME) model, for predicting terrain in autonomous outdoor robot navigation. Binary linear models, trained on-line on images seen by the robot at different points in time, are added
EXTENSIBLE AND ADAPTABLE SYSTEM SOFTWARE *
"... Concurrent real-time software systems are vulnerable to performance saturation and reliability concerns due to environmental influences. Building intelligent concurrent systems that are able to adapt to environmental changes and reconfigure themselves is the key to avoiding performance degradation o ..."
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of concurrent real-time software systems and ensuring the liveness property of such systems. In this paper we present a machine learning-based approach that addresses the design of agent-based intelligent concurrent software systems in order to ensure the reliability and performance properties for such systems
Materials for an exploratory theory of the network society.
- The British Journal of Sociology
, 2000
"... ABSTRACT This article aims at proposing some elements for a grounded theor y of the network society. The network society is the social structure characteristic of the Information Age, as tentatively identi ed by empirical, cross-cultural investigation. It permeates most societies in the world, in v ..."
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Cited by 122 (0 self)
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instrumental tool of management of new forms of life, including the building of on-line communities of support and collective learning. I see, however, a much stronger connection between networks and relationships of experience through the cultural transformations induced by communication networks
Results 1 - 10
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158
