
Generalized Autoregressive Moving Average Models with GARCH Errors
One of the important and widely used classes of models for nonGaussian ...
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Population Monotonicity in Matching Games
A matching game is a cooperative profit game defined on an edgeweighted...
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Arboricity Games: the Core and the Nucleolus
The arboricity of a network is the minimum number of forests needed to c...
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MODMA dataset: a Multimodal Open Dataset for Mentaldisorder Analysis
According to the World Health Organization, the number of mental disorde...
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MODMA dataset: a Multimodel Open Dataset for Mentaldisorder Analysis
According to the World Health Organization, the number of mental disorde...
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Population Monotonic Allocation Schemes for Vertex Cover Games
For the class of vertex cover games (introduced by Deng et al., Math. Op...
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Searching for polarization in signed graphs: a local spectral approach
Signed graphs have been used to model interactions in social networks, ...
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Hybrid Kronecker Product Decomposition and Approximation
Discovering the underlying low dimensional structure of high dimensional...
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KoPA: Automated Kronecker Product Approximation
We consider matrix approximation induced by the Kronecker product decomp...
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Stable Matrix Completion using Properly Configured Kronecker Product Decomposition
Matrix completion problems are the problems of recovering missing entrie...
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On the Convexity of Independent Set Games
This paper investigates independent set games (introduced by Deng et al....
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Asynchronous "Events" are Better For Motion Estimation
Eventbased camera is a bioinspired vision sensor that records intensit...
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Bonsai  Diverse and Shallow Trees for Extreme Multilabel Classification
Extreme multilabel classification refers to supervised multilabel lear...
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Autoregressive Models for MatrixValued Time Series
In finance, economics and many other fields, observations in a matrix fo...
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Dual AskAnswer Network for Machine Reading Comprehension
There are three modalities in the reading comprehension setting: questio...
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MultiPerspective Neural Architecture for Recommendation System
Currently, there starts a research trend to leverage neural architecture...
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Convexification of Neural Graph
Traditionally, most complex intelligence architectures are extremely non...
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Intelligence Graph
In fact, there exist three genres of intelligence architectures: logics ...
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NDT: Neual Decision Tree Towards Fully Functioned Neural Graph
Though traditional algorithms could be embedded into neural architecture...
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Hungarian Layer: Logics Empowered Neural Architecture
Neural architecture is a purely numeric framework, which fits the data a...
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FashionMNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
We present FashionMNIST, a new dataset comprising of 28x28 grayscale im...
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SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions
Knowledge representation is an important, longhistory topic in AI, and ...
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From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction
Knowledge graph embedding aims at offering a numerical knowledge represe...
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TransA: An Adaptive Approach for Knowledge Graph Embedding
Knowledge representation is a major topic in AI, and many studies attemp...
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TransG : A Generative Mixture Model for Knowledge Graph Embedding
Recently, knowledge graph embedding, which projects symbolic entities an...
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Han Xiao
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