End-To-End Learning of Geometry and Context for Deep ...

gation and regularization, was shown by Zbontar and Le-ˇ Cun [47, 49] to produce then state-of-the-art results. Luo et al. presented a notably faster network for computing lo-cal matching costs as a multi-label classification of dispar-ities using a Siamese network [33]. A multi-scale embed-ding model from Chen et al. [9] also provided good local

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Performance of machine learning techniques in the ...

Jan 01, 2019· This paper, seeks to carry out comparative analysis of financial fraud detection techniques, like machine-learning techniques, who plays an important role in fraud detection, as it is often applied to extract and uncover the hidden truths behind very large quantities of data.

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Genetic Algorithm Approaches for Improving Prediction ...

gation function and heuristic-based approaches are briefly explained here as they are the central part of this study and for making a comparative analysis of their performance. 2.1.1. Aggregation function approach The aggregation function is a model-based approach .

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Rightful Machines and Dilemmas - Aies Conference

Rightful Machines and Dilemmas [discipline: philosophy] Abstract In this paper I set out a new Kantian approach to resolving dilemmas such as the trolley problem for semi-autonomous machine agents such as self-driving cars. First, I argue that ... gation such as in the trolley problem. An action is just, Kant says, when it "can coexist with the ...

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Model selection of extreme learning machine based on multi ...

This paper tries to supply a simple and efficient solution for these two factors. Fortunately, Huang et al. [12] extended ELM to support vector network, which provides a new idea for us: calculate the LOO bound of ELM by introducing the method used in support vector machine (SVM). Therefore, this paper first derives a new leave-

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Query-Aware Bayesian Committee Machine for Scalable ...

submodels. The contributions of this paper are three-folds. 1.We perform a theoretical analysis on the impact of prior on the accuracy of aggregation models for scalable GP. 2.We propose a novel query-aware Bayesian commit-tee machine (QBCM) that provides a more accu-rate approximation than the state-of-the-art aggre-gation models.

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Following Directions Using Statistical Machine Translation

This paper is organized as follows. In the next section, we present our approach, starting with some background on statistical machine translation. Experimental results are given in Section III, followed by a discussion of related work in Section IV. We conclude in Section V. II. APPROACH Our approach involves using machine translation to learn

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Machine learning and data analytics for the IoT

machine learning techniques. These groups of machine learning-based algorithms that process and summarize the raw data and provide actionable insights basically comprise the field of study called descriptive analytics. Data aggre-gation, data summarization, mathematical logical opera-tions, data mining (e.g., clustering algorithms), and so on

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A Unified Architecture for Accelerating Distributed DNN ...

utilizing additional CPU machines to aid the GPU machines (§2). It seems to be a good opportunity to accelerate DNN training because GPU clusters indeed have spare CPU and bandwidth resources (§3.1). Unfortunately, in practice, all the existing PS have inferior performance for multiple design reasons, as we shall see soon in this paper.

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Hatfield the Rainmaker - San Diego History Center | San ...

Jan 01, 1970· the sewing machine salesman Charley and Paul went back to their routine at the Robert B. Moorhead Agency, dealer in New Home Sewing Machines, 349 South Spring Street. Within the year reporters would be seeking the rainmaker in greater ex­citement than ever, but in the spring, summer and fall of 1904 he was back in the business where he had ...

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CiteSeerX — Joint Alignment and Artificial Data Generation ...

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In this paper, we first carry out an investi-gation on two existing pivot strategies for statistical machine transliteration, namely system-based and model-based strategies, to figure out the reason why the previous model-based strategy performs much worse than the system-based one.

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Investigating the mechanical properties of paperboard ...

paper. In the study by Haslach [2], the complexity of paper was discussed. The author further stated ZD,z CD,y MD,x Figure 1: Principal material directions of paper-board (MD is the machine direction, CD is the cross direction and ZD is the thickness direction). Figure 2. Corrugated paperboard panel geometry

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(PDF) Support Vector Machines: Theory and Applications

This paper presents a critical assessment analysis on mental health detection in Online Social Networks (OSNs) based on the data sources, machine learning techniques, and feature extraction method.

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Distributed Gradient Descent Algorithm Robust to an ...

17-17943. This paper was presented in part in the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing [1]. even a single Byzantine worker can prevent the convergence of distributed gradient descent algorithm. There have been some interesting recent works to design distributed machine learning algorithms [9]–[11], [20 ...

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System-level Implications of Disaggregated Memory

gation with content-based page sharing (CBPS) [22,9], an orthogonal, software-based method for increasing ef-fective memory capacity that is already available in many hypervisors. CBPS uses the hypervisor's virtual memory mechanisms to store only a single copy of pages with identical content, but incurs extra computation to detect and

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Enabling and Optimizing Non-linear Feature Interactions in ...

Accelerating machine learning (ML) over relational data is a ... Overall, this paper makes the following contributions: •To the best of our knowledge, this is the first paper ... gation, matrix-matrix multiplication, and crossproduct (aka Gramian). Popular programming environments and libraries

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LegoOS: A Disseminated, Distributed OS for Hardware ...

of fitting applications to physical machines. Since a pro-cess can only use processor and memory in the same ma-chine, it is hard to achieve full memory and CPU resource utilization [18, 33, 65]. Second, after packaging hard-ware devices in a server, it is difficult to add, remove, or change hardware components in datacenters [39]. More-

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Rule-based Anti-Money Laundering in Financial Intelligence ...

gation [35], stratified negation, Boolean conditions, mathematical expressions, proba-bilistic reasoning, embedded functions and arbitrary machine learning models [7]. The IDBs are defined in terms of existential rules, i.e. first-order sentence of the

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Warrant essay definition

Search for: Attend. Upcoming Events; Affiliate Events; Past Events. My Bookings; Videos; Event Archive

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LISNN: Improving Spiking Neural Networks with Lateral ...

LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recognition Xiang Cheng 1 ;2 3, Yunzhe Hao, Jiaming Xu1;2y and Bo Xu1 ;2 3 4y 1Institute of Automation, Chinese Academy of Sciences (CASIA).Beijing, China 2Research Center for Brain-inspired Intelligence, CASIA 3University of Chinese Academy of Sciences 4Center for Excellence in Brain Science and Intelligence ...

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Interactive Correction of Mislabeled Training Data

In this paper, we develop a visual analysis method for interactively ... gation of label corrections froma small numberof trusted items to ... machine learning field, active learning [9] is another way to include users into the labeling process by providing the labels of items

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Dynamic Layer Aggregation for Neural Machine Translation ...

gation, researchers in the field of computer vision have pro-posed various approaches, such as residual connections (He et al. 2016), densely connected network (Huang et al. 2017) and deep layer aggregation (Yu et al. 2018). State-of-the-art neural machine translation (NMT) mod-els generally implement encoder and decoder as multiple

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The Gamma Database Machine Project

Abstract-This paper describes the design of the Gamma database machine and the techniques employed in its implementation. Gamma is a relational database machine currently operating on an Intel iPSC/2 hypercube with 32 processors and 32 disk drives. ... gation, and update queries, we also analyze the performance of Gamma ...

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Replicating and Mitigating Spectre Attacks on a Open ...

Machine [4], Rocket Chip [2], PULPino [19], and riscy-OOO [26]. In this paper, we show the value of RISC-V for hardware se-curity research by demonstrating a methodology for developing, implementing, and evaluating microarchitectural mitigations for security vulnerabilities in .

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UISCOPE: Accurate, Instrumentation-free, and Visible ...

paper, we present UISCOPE, a novel accurate, instrumentation- ... gation report is largely preferred and would greatly facilitate ... and evaluate on 7 machines and 6 real-world attacks. Results show that compared to existing works, UISCOPE introduces

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A Unified Architecture for Accelerating Distributed DNN ...

utilizing additional CPU machines to aid the GPU machines (§2). It seems to be a good opportunity to accelerate DNN training because GPU clusters indeed have spare CPU and bandwidth resources (§3.1). Unfortunately, in practice, all the existing PS have inferior performance for multiple design reasons, as we shall see soon in this paper.

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Knowledge Transfer for Out-of-Knowledge-Base Entities : A ...

gation model, we first obtain the embedding vectors of the neighborhood of a given node (entity)e and then convert ... Viewed as a machine learning problem, triplet classifica- ... In this paper, we modify the propagation model to be suitable for knowledge graphs. For the .

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Fatigue of Threaded Fasteners - ASM International

gation should include assessment of the mate-rial properties to determine fastener strength, as well as the loads that contributed to the break. Stress corrosion cracking (SCC), or hy-drogen embrittlement in some metals, repre-sents an important failure mode in fasteners due to the static tensile nature of the loading in many applications.

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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE ...

gation [14] and collective information processing in crowds [2] at both macroscopic and microscopic levels. Many important factors and laws affecting collective motions have also been discovered and analyzed, such as phase transition, criticality of crowd density, and self-organization [21], [22].

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Performance of machine learning techniques in the ...

Jan 01, 2019· This paper, seeks to carry out comparative analysis of financial fraud detection techniques, like machine-learning techniques, who plays an important role in fraud detection, as it is often applied to extract and uncover the hidden truths behind very large quantities of data.

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Design and Test of Multifunctional Vegetable Transplanting ...

Jan 01, 2019· The machine was mainly composed of duckbill type planter, fertilization mechanism, power transmission system, soil covering d vice, watering device, f lm covering and pipe laying mechanism, etc. It could perform drip irr gation tape laying and film covering, transpl nting, fertilizing, soil overing, w ter g and o her orking pro edures at one time.

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