The paper introduces novel machine learning (data mining) algorithm called Adaptive Local Hyperplane (ALH) and it presents its application in solving regression problems. ALH algorithm has recently shown extremely good ...
Affective analysis attracts increasing attention in multimedia domain since affective factors directly reflect audiences' attention, evaluation and memory. Existing study focuses on mapping low-level affective features to ...
In this paper, we develop a new adaptive scheme in which an optimal distance-based update threshold is selected not only as a function of the call-to-mobility ratio, but also as a transitional directivity index w; a new ...
In this paper, we propose a new adaptive scheme in which an optimal distance-based update threshold is selected not only as a function of the call-to-mobility ratio, but also as a function of mobile's traveling patterns, ...
Contrary to the assumption that most quantum error-correcting codes (QECC) make, it is expected that phase errors are much more likely than bit errors in physical devices. By employing the entanglement-assisted stabilizer ...
In the basic Cagan model of monetary dynamics, we allow inflationary expectations to be formed as a weighted average of fundamentalist and chartists expectations. We allow the weights to evolve adaptively according to the ...
A novel method which combines an optimised global path planner with a real-time sensor-based collision avoidance mechanism to accommodate for dynamic changes in the environment (e.g., people) is presented. The basic concept ...
For the purpose of achieving high-resolution optimal solutions this paper proposes a nodal design variable-based adaptive method for topology optimization of continuum structures. The analysis mesh-independent density ...
The traditional asset-pricing models ? such as the capital asset pricing model (CAPM) of [42] and [34], the arbitrage pricing theory (APT) of [40], or the intertemporal capital asset pricing model (ICAPM) of [38] ? have ...
Physiological and/or behavioural characteristics of humans such as face, gait and/or voice have been used in biometric recognition technology. Apart from these characteristics (which have been reported in the literature), ...
System identification refers to any systematic way of deriving or improving models of systems through the use of experimental and field testing inputa??output data. In the field of civil engineering, identification of the ...
Research on security techniques for Java bytecode has paid little attention to the security of the implementations of the techniques themselves, assuming that ordinary tools for programming, verification and testing are ...
Wahid, Herman; Ha, Quang; Nguyen-Duc, Hiep(IEEE, 2010)
Modelling is important in air quality forecasting and control. Before applying an air quality model, it is required to accurately estimate the biogenic emission. The assessment of the background ozone concentration is ...
Mukheibir, Pierre; Mitchell, Cynthia; Mckibbin, John; Komatsu, Ray; Ryan, Heidi; Fitzgerald, Cameron(Australian Water Association (AWA), 2012)
Water planners are familiar with some form of variability in climate and demand. However, the uncertainty associated with the frequency and magnitude of the variations, coupled with broader performance expectations, means ...
This paper presents a systematic literature review to gain an understanding of adaptive policies. This review looks at papers published between 1970 and 2011 and examines the background and trends in this area. Based on ...
We discuss the polygonisation and rendering of non-manifold implicit surfaces using adaptive octree subdivision and interval arithmetic for surface exclusion in octree nodes. We present a new algorithm that polygonises ...
Uthansakul, Peerapong.; Bialkowski, Marek E.(2007-03-12)
This paper describes an adaptive algorithm for power and bit allocations in a multiple user Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO OFDM) system operating in a frequency selective ...
Due to the central role of cranes in construction operations, specialists in the construction industries have cooperated in the development of structured methods and software for crane selection. Most of these software ...
Yang, Xiaowei; Lu, Jie; Zhang, Guangquan(Springer Berlin / Heidelberg, 2010)
As a new version of support vector machine (SVM), least squares SVM (LS-SVM) involves equality instead of inequality constraints and works with a least squares cost function. A well-known drawback in the LSSVM applications ...