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A Graph Kernel based on Jensen-Shannon Representation

A Graph Kernel based on Jensen-Shannon Representation

... JSMK kernel can easily outperform all the alter- native graph kernels on any ...JSMK kernel are obviously higher than those of all the alternative ...JSMK kernel can establish the sub- ... See full document

8

A Deep Hybrid Graph Kernel through Deep Learning Networks

A Deep Hybrid Graph Kernel through Deep Learning Networks

... hybrid graph kernel. This is based on the depth-based matching kernel [1] and the Weisfeiler-Lehman subtree kernel [2], by jointly computing a basic deep kernel that ... See full document

7

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

... • Removal of antivirus files [2]. This approach is one of the most targeted attacks, whose purpose is to completely remove the antivirus tool from the system. However, practical implementation is often not possible, ... See full document

5

Nonextensive Information Theoretic Kernels on Measures

Nonextensive Information Theoretic Kernels on Measures

... the Jensen- Shannon (JS) ...measures, based on new JS-type diver- ...a Jensen q-inequality. Based on this inequality, we in- troduce Jensen-Tsallis (JT) q-differences, a ... See full document

41

Measuring graph similarity through continuous-time quantum walks and the quantum Jensen-Shannon divergence

Measuring graph similarity through continuous-time quantum walks and the quantum Jensen-Shannon divergence

... Although kernel methods provide a way to shift this representational problem, the design of novel and e ffi cient graph kernels remains an open ...inspired kernel for unattributed graphs where we ... See full document

29

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

... tree based classification using breadth first search reduces the time complexity in detecting abnormal activities and significantly reduces the packet delay ... See full document

9

Kernel Methods for Activation Energy Prediction

Kernel Methods for Activation Energy Prediction

... a representation of molecular structure is a critical problem in measurement of ...Various kernel methods have already been developed based on these ...spectrum kernel (Leslie et ...mismatch ... See full document

19

Quantum Jensen-Shannon Graph Kernels using Discrete-time Quantum Walks

Quantum Jensen-Shannon Graph Kernels using Discrete-time Quantum Walks

... the graph structure using discrete-time quantum ...the graph vertex set, the state space of the discrete-time quantum walk is the set of arcs residing on the graph ...undirected graph G(V, E), ... See full document

10

Fast Depth-Based Subgraph Kernels for Unattributed Graphs

Fast Depth-Based Subgraph Kernels for Unattributed Graphs

... a graph structure. This is because the complexity trace vector of a graph can be viewed as an embedding vector, embedding a graph into a vector tends to approximate the structural correlations into a ... See full document

43

A quantum Jensen-Shannon graph kernel for unattributed graphs

A quantum Jensen-Shannon graph kernel for unattributed graphs

... quantum Jensen-Shannon graph kernels outperform or are competitive with the state of the art ...quantum kernel are significantly better than those of the graph kernels using the ... See full document

33

Transitive state alignment for the quantum jensen-shannon kernel

Transitive state alignment for the quantum jensen-shannon kernel

... Abstract. Kernel methods provide a convenient way to apply a wide range of learning techniques to complex and structured data by shift- ing the representational problem from one of finding an embedding of the data ... See full document

11

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

... [9] B T P Madhav, Habibulla Khan, D Ujwala, Y Bhavani Sankar, Madhuri Kandepi, A Siva Nagendra Reddy, Davuluri Nagajyothi, “CPW Fed Serrated Antenna Performance Based on Substrate Permittivity”, International ... See full document

8

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

... Naïve Bayes is a simple, fast and accurate classifier based on Bayes’ theorem with independent assumption. It is used in [13] for Mobile ad hoc network, and In [14], a novel approach was proposed to identify the ... See full document

9

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

... The diversity of natural language for meaning representation in documents is one of the causes of information overload in information retrieval. Headline generation is an automatic text summarization technique ... See full document

6

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

... • Aspect-oriented software development: Aspect-oriented software development (AOSD) is a new approach to software development that addresses limitations inherent in other approaches, including object-oriented ... See full document

12

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

... Despite of using the classic randomly choose initial k-centroids, this Enhanced method manipulates the local minimum and maximum values based on the RGB colour space during the initialization step. The enhanced ... See full document

9

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

... investment by itself will not bring a competitive advantage [31, 32]. Thus it seems that IS will play a moderating role on the impact of BA on SC performance. The proposed moderating effects in line with the finding that ... See full document

12

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

... In recent years, several architectures that combine processors and /or reconfigurable circuit (FPGA) have been proposed to accelerate the execution of applications more complex such as digital signal generator ... See full document

7

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

... The paper also presents the comparative analysis of proposed algorithm with existing round robin scheduling algorithm on the basis of varying time quantum, average waiting time, average [r] ... See full document

9

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING

... irrelevant graph parts looking for the shortest Path as illustrated in following ...path based on the exclusion of all nodes in the graph that do not lead to ...the graph baths in the matrices ... See full document

9

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