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Multi-class learning from network data is an important but challenging problem with many applications, including malware detection in computer networks, user modeling in social networks, and protein function prediction in biological networks. Despite the extensive research on large multi-class learning, there are still numerous issues that have not been sufficiently addressed, such as efficiency of...
In cloud computing, one of its intensions is tomeet service level agreements (SLAs) under high resource utilization. Cloud service providers normally make policies for the provisioning of resource sharing and performance optimization. As a result, the prediction of performance and resource utilization prior to the implementation deems as a promising and efficient tool for cloud providers. It is a...
Attackers who designed malware seem to be so cautious that most of the malware are disguised as normal apps. This brings about huge difficulties to detect the malware. Similar with traditional PC testing, there are two main detection methods for Android malware: static analysis and dynamic monitoring. However, these methods inevitably face the challenge of code confusion performance cost. In this...
Sentence similarity computing based on the “HowNet” usually treats the optimal matches between the primitives or words as the basic computing unit, and the final results can be got through the weighted sum model. However, this approach often results in the information duplication and the irrational construction. For such problems, this paper calculates the similarity of sets through the statistics...
The calculation of semantic similarity is a key point in Chinese information processing. This paper presents a new method for calculating semantic similarity between two words. Different from previous methods, this paper focuses on the perspective of connotations, trying to highlight the essential attributes of words by which we can get the similarity value in words' conceptual level. Firstly, we...
Synphilin-1 is a novel α-synuclein interacting protein presenting in the Lewy bodies, the N-terminal 12 residues peptide of α-synuclein (α-syn12) can binding to the coiled-coil domain of Synphilin-1. However, the complex structure in water has not been determined by experimental methods, so that the possible structure of this complex and interaction sites have been studied by docking algorithms and...
This paper presents an adaptive agent-based negotiation model to improve the low efficiency caused by the incomplete information and the diversity of backgrounds of the negotiating parties. Our model at first utilizes the Market-Driver Model to make adjustable rates of overall concession, and then learns opponent's preference using Bayesian learning, at last takes account of the factors affecting...
It is an important work in natural language processing to measure the semantic similarity between two words. This paper proposes a new method for computing word similarity based on pattern vector space model. Analogous to traditional vector space model in information retrieval, a word is represented as a vector in this paper. Each dimension corresponds to a contextual pattern. The similarity between...
In this paper, by analyzing the essential characteristic of stochastic programming and the deficiencies of the existing methods, we propose the concept of synthesizing effect function for processing the objective function and constraints, and further we give an axiomatic system for synthesizing effect function. Finally, we establish a general solution model based on synthesizing effect function for...
The goal of this work is to highlight the fact that the mobile ambients and a static program analysis algorithm have the promise of providing a strong tool for describing and computing on functions of biological systems. Firstly, a context dependent shape analysis strategy of mobile ambients is developed. Secondly, a Mobile Ambients model of SBP-dependent ABC uptake transporter is presented and its...
Next generation Internet and wireless telecommunication networks compose a pervasive computing structure. Real large-scale tests, simulation and emulation are the major strategies to construct next generation testbed. Synchronization primitives are critical to ensure finite resource assesses. For performance load and utilization prediction, this research proposes a formal testbed abstraction and contention...
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