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In the traditional OGY control the system parameter variable whose available adjustable range is limited is related with the distance between system state variable and UPO (Unstable Periodic Orbit), so state variable being nearby UPO only causes chaos signal OGY control. Whereas the state variable cannot often keep nearby UPO, and the traditional chaos signal OGY control takes much time. Against that...
Web search engine companies are intensively running learning to rank algorithms to improve the search relevance. Neural network (NN)-based approaches, such as LambdaRank, can significantly increase the ranking quality. While, their training is very slow on a single computer and inherent coarse-grained parallelism could be hardly utilized by computer clusters. Thus an efficient implementation is necessary...
Based on random fuzzy theory, this paper presents a new class of two-stage random fuzzy programming model, and gives three solution concepts, which are wait-and-see solution, here and now solution and expected value solution. Since the value of information and uncertainties plays an important role in the studies of uncertainty optimization problem, this paper gives two optimal indexes based on the...
We consider the problem of single image object motion deblurring from a static camera. It is well-known that deblurring of moving objects using a traditional camera is ill-posed, due to the loss of high spatial frequencies in the captured blurred image. A coded exposure camera modulates the integration pattern of light by opening and closing the shutter within the exposure time using a binary code...
Standard hidden Markov model (HMM) and the more general dynamic Bayesian network (DBN) models assume stationarity of state transition distribution. However, this assumption does not hold for many real life events of interest. In this paper, we propose a new time sequence model that extends HMM to time varying scenario. The time varying property is realized in our model by explicitly allowing the change...
The proliferation of chip multiprocessors (CMPs) has led to the integration of large on-chip caches. For scalability reasons, a large on-chip cache is often divided into smaller banks that are interconnected through packet-based network-on-chip (NoC). With increasing number of cores and cache banks integrated on a single die, the on-chip network introduces significant communication latency and power...
Concept hierarchies are important in many generalized data mining applications, such as multiple-level fuzzy association rule mining. Usually concept hierarchies are given by domain experts. However, it is extremely difficult and time-consuming for human experts to discover concepts and construct concept hierarchies from the domain. In literature, several representations of concept hierarchy are possible,...
The aim of this work is to show how data mining technology based on rough set can be used for efficient implementation. In this paper, we discuss rough set theory in detail. In order to discover new rules from databases based on rough set, an object-oriented software architecture being propitious to data mining is given. And the algorithms for data reduction, rule discovery and rule reduction are...
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