45 Result(s)
within
Engineering
Artificial Intelligence
Complex Systems
Control, Robotics, Mechatronics
**yi Yao
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Article
Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization
In recent years, there has been a growing interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs). Among approaches developed for EAs to deal with DOPs, immigrants schemes h...
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Article
Biomedical named entity recognition using generalized expectation criteria
It is difficult to apply machine learning to a domain which is short of labeled training data, such as biomedical named entity recognition (NER) which remains a challenging task because of its extraordinary co...
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Article
A framework for finding robust optimal solutions over time
Dynamic optimization problems (DOPs) are those whose specifications change over time, resulting in changing optima. Most research on DOPs has so far concentrated on tracking the moving optima (TMO) as closely ...
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Article
Face hallucination using example-based regularization
Face super-resolution is to synthesize a high resolution facial image from a low resolution input, which can significantly improve the recognition for computer and human. Regularization plays a vital role in i...
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Article
Secondary basis unique augmentation matroids and union minimal matroids
By the augmentation axiom of matroids, given two independent sets whose cardinalities are not equal, there exists some other independent set of which the independent set with smaller cardinality is a proper su...
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Article
Adaptive exponential synchronization of delayed Cohen–Grossberg neural networks with discontinuous activations
This paper treats of the exponential synchronization issue of delayed Cohen–Grossberg neural networks with discontinuous activations. By utilizing Lyapunov stability theory, an adaptive controller is designed ...
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Article
Synchronization of a class of memristive neural networks with time delays via sampled-data control
In this paper, the synchronization issues for chaotic memristive neural networks with time delays using sampled-data feedback controller are formulated and studied. By constructing a useful Lyapunov functional...
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Article
Finite-time synchronization of chaotic neural networks with mixed time-varying delays and stochastic disturbance
This paper treats of the finite-time stochastic synchronization problem of chaotic dynamic neural networks with mixed time-varying delays and stochastic disturbance. State feedback controller and adaptive cont...
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Article
Extreme learning machine via free sparse transfer representation optimization
In this paper, we propose a general framework for Extreme Learning Machine via free sparse transfer representation, which is referred to as transfer free sparse representation based on extreme learning machine...
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Article
Robust stability analysis of uncertain genetic regulatory networks with mixed time delays
This study is concerned with the robust stability problem of uncertain genetic regulatory networks (GRNs) with random discrete time delays and distributed time delays which exist both in translation process an...
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Article
Applications of repeat degree to coverings of neighborhoods
Covering of neighborhoods is an important concept in covering-based rough sets. There are many unsolved issues related to coverings of neighborhoods. The concept of repeat degree is proposed to study under wha...
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Article
Three-way decisions model based on tolerance rough fuzzy set
Based on Bayesian decision theory, three-way decisions model (TWDM) proposed by Yao gives new semantic interpretations of positive region, negative region and boundary region. Some extensions of TWDM have been...
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Article
Interval sets and three-way concept analysis in incomplete contexts
In situations with incomplete information, we may have only partial knowledge about a concept. This motivates the introduction of the notion of a partially-known concept represented by a set of known instances...
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Article
TDUP: an approach to incremental mining of frequent itemsets with three-way-decision pattern updating
Finding an efficient approach to incrementally update and maintain frequent itemsets is an important aspect of data mining. Earlier incremental algorithms focused on reducing the number of scans of the origina...
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Article
Tracking human poses in various scales with accurate appearance
Building a robust and fully automatic framework for human motion tracking in 2D images and videos remains a challenging task in computer vision due to cluttered backgrounds, self-occlusions, variations of body...
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Article
\(H_{\infty }\) filter design for delayed static neural networks with Markovian switching and randomly occurred nonlinearity
The paper is concerned with the problem of \(H_{\infty }\) ...
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Article
Segmentation of the left ventricle in cardiac MRI using a hierarchical extreme learning machine model
Segmentation of the left ventricle (LV) from cardiac magnetic resonance imaging (MRI) images is an essential step for calculation of clinical indices such as stroke volume, ejection fraction. In this paper, a ...
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Article
An analysis of three types of partially-known formal concepts
Formal concept analysis with an incomplete context has received much attention recently, where an object is known to have one set of attributes and not have another set of attributes; for the rest of attribute...
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Article
An effective Bayesian network parameters learning algorithm for autonomous mission decision-making under scarce data
In this paper, a constrained parameter evolutionary learning (CPEL) algorithm for Bayesian network (BN) parameters learning under scarce data is proposed, which can be applied to UAV autonomous mission decisio...
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Article
Recommendations based on user effective point-of-interest path
Point-of-interest (POI) recommendation has become an important service in location-based social networks. Existing recommendation algorithms provide users with a diverse pool of POIs. However, these algorithms...
