How To Read Research Papers

Document classification methods. (arXiv:1909.07368v1 [cs.IR])
Information on different fields which are collected by users requires appropriate management and organization to be structured in a standard...

Spatiotemporal Attention Networks for Wind Power Forecasting. (arXiv:1909.07369v1 [cs.LG])
Wind power is one of the most important renewable energy sources and accurate wind power forecasting is very significant for...

Machine learning in healthcare -- a system's perspective. (arXiv:1909.07370v1 [cs.CY])
A consequence of the fragmented and siloed healthcare landscape is that patient care (and data) is split along multitude of...

A prototype for a serious digital game to teach linguistic ontologies. (arXiv:1909.07371v1 [cs.CY])
The objective of ontologies is to increase the compression of a given domain by eliminating interpretation problems. Among kinds of...

Modeling Traffic Congestion with Spatiotemporal Big Data for An Intelligent Freeway Monitoring System. (arXiv:1909.07372v1 [cs.CY])
Traffic congestion is a complex, nonlinear spatiotemporal modeling problem. By collecting and analyzing a vast quantity and different categories of...

Policy Prediction Network: Model-Free Behavior Policy with Model-Based Learning in Continuous Action Space. (arXiv:1909.07373v1 [cs.LG])
This paper proposes a novel deep reinforcement learning architecture that was inspired by previous tree structured architectures which were only...

A Linearly Constrained Nonparametric Framework for Imitation Learning. (arXiv:1909.07374v1 [cs.LG])
In recent years, a myriad of advanced results have been reported in the community of imitation learning, ranging from parametric...

Extending and Automating Basic Probability Theory with Propositional Computability Logic. (arXiv:1909.07375v1 [cs.AI])
Classical probability theory is formulated using sets. In this paper, we extend classical probability theory with propositional computability logic. Unlike...

Where are the Keys? -- Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional Networks. (arXiv:1909.07376v1 [cs.LG])
Emerging object-based SLAM algorithms can build a graph representation of an environment comprising nodes for robot poses and object landmarks....

A Karhunen-Loeve expansion for one-mode open quantum harmonic oscillators using the eigenbasis of the two-point commutator kernel. (arXiv:1909.07377v1 [quant-ph])
This paper considers one-mode open quantum harmonic oscillators with a pair of conjugate position and momentum variables driven by vacuum...

Searching for Accurate Binary Neural Architectures. (arXiv:1909.07378v1 [cs.LG])
Binary neural networks have attracted tremendous attention due to the efficiency for deploying them on mobile devices. Since the weak...

BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. (arXiv:1909.07405v1 [cs.CL])
The principle of the Information Bottleneck (Tishby et al. 1999) is to produce a summary of information X optimized to...

On Decoding Cohen-Haeupler-Schulman Tree Codes. (arXiv:1909.07413v1 [cs.IT])
Tree codes, introduced by Schulman, are combinatorial structures essential to coding for interactive communication. An infinite family of tree codes...

Efficient high-order singular quadrature schemes in magnetic fusion. (arXiv:1909.07417v1 [math.NA])
Several problems in magnetically confined fusion, such as the computation of exterior vacuum fields or the decomposition of the total...

Regular Partitions and Their Use in Structural Pattern Recognition. (arXiv:1909.07420v1 [cs.DS])
Recent years are characterized by an unprecedented quantity of available network data which are produced at an astonishing rate by...

A Characteristic Function Approach to Deep Implicit Generative Modeling. (arXiv:1909.07425v1 [cs.LG])
In this paper, we formulate the problem of learning an Implicit Generative Model (IGM) as minimizing the expected distance between...

TAAL: Tampering Attack on Any Key-based Logic Locked Circuits. (arXiv:1909.07426v1 [cs.CR])
Due to the globalization of semiconductor manufacturing and test processes, the system-on-a-chip (SoC) designers no longer design the complete SoC...

KRNC: New Foundations for Permissionless Byzantine Consensus and Global Monetary Stability. (arXiv:1909.07433v1 [cs.CR])
This paper applies biomimetic engineering to the problem of permissionless Byzantine consensus and achieves results that surpass the prior state...

HERALD: Optimizing Heterogeneous DNN Accelerators for Edge Devices. (arXiv:1909.07437v1 [cs.DC])
Recent advances in deep neural networks (DNNs) have made DNNs the backbone of many applications on edge devices such as...

On the design of an innovative solution for increasing hazardous materials transportation safety. (arXiv:1909.07438v1 [cs.CY])
Transportation of hazardous materials represent a high risk operation all over the world. Flammable substances such as oil, kerosene, hydrocarbons,...


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