Reviewerly/exHarmony huggingface dataset:
RMIX: Risk-Sensitive Multi-Agent Reinforcement Learning

Centralized training with decentralized execution (CTDE) has become an important paradigm in multi-agent reinforcement learning (MARL). Current CTDE-based methods rely on restrictive decompositions of the centralized value function across agents, which decomposes the global Q-value into individual Q values to guide individuals' behaviours. However, such expected, i.e., risk-neutral, Q value decomposition is not sufficient even with CTDE due to the randomness of rewards and the uncertainty in environments, which causes the failure of these methods to train coordinating agents in complex environments. To address these issues, we propose RMIX, a novel cooperative MARL method with the Conditional Value at Risk (CVaR) measure over the learned distributions of individuals' Q values. Our main contributions are in three folds: (i) We first learn the return distributions of individuals to analytically calculate CVaR for decentralized execution; (ii) We then propose a dynamic risk level predictor for CVaR calculation to handle the temporal nature of the stochastic outcomes during executions; (iii) We finally propose risk-sensitive Bellman equation along with Individual-Global-MAX (IGM) for MARL training. Empirically, we show that our method significantly outperforms state-of-the-art methods on many challenging StarCraft II tasks, demonstrating significantly enhanced coordination and high sample efficiency.
Room Loan Information System At Website-Based National University: Room Loan Information System At Website-Based National University

In each of its link, Technology & experienced: speed and equalization in its progress. Use of Sisfomen (Management System): In the institution there have been many applications because sure to manage-the process becomes very practical and efficient. Activities of an institution, especially on: educational institutions basic, medium and high, in general need to SISFO for efficiency and effectiveness performance. Lending space is: one of the ways in support in the business pace of a field especially campuses that have some also empty space to be processed into additional opportunities. In doing this loan, students or related parties still need to inquire in the campus schedule directly to come to the provider of the room, this makes students or any related parties who want to borrow space waste a lot of time and also the certainty of whether or not the provider. In addition, lending procedures still use manual processes, this is sometimes in the case of loan transactions that arise as conflicts and errors. Therefore, this application is made by the title: Information system for lending room at National University based Website.
Identify the Different Text Detection and Recognition Techniques from the Paper Documents in Digital Image Processing

Identify the Different Text Detection and Recognition Techniques from the Paper Documents in Digital Image Processing
Modeling of the processes of development of professional thinking of teachers of the future drawing science

International law is an authoritative legal system that is In this article, an overview of the modeling of the processes of the development of professional thinking of teachers of the future drawing science is given
DEVELOPMENT OF EMOTIONAL INTELLIGENCE AT PRE-SCHOOL AGE

The current report examines the question of development of emotional intelligence of children at a pre-school age as a part of the work on an Erasmus+ project „To hug the world“. The core idea of the project is to enhance the quality and efficiency of education at early child age, as well as emphasize equality, social convergence and active civil participation. The development of emotional intelligence is a key factor for the complete participation of a child in life, which sets the main goal of the current development and is targeted towards the children to grow up as active future members of society, ready to participate in its management and at the same time forming sense of compassion, belonging to societies wider than the family. The child as a participant in the project „To hug the world“ acquires the needed social knowledge and skills for fulfilling their role of a citizen, learns to solve interpersonal, local, national and global problems, showing constructive, pragmatic and critical thinking, freedom of thought and independence of will. Teaching children emotional intelligence, to acknowledge feelings, to understand where they come from and to learn to cope with them, sets the foundations of the most important skills for success and premise of full personal development at a later stage. In the current report, there are different techniques used by teachers of Kindergarten „Zname na mira“, Vratsa, targeted towards forming of emotional intelligence in children.
Practical Face Reconstruction via Differentiable Ray Tracing

We present a differentiable ray-tracing based novel face reconstruction approach where scene attributes - 3D geometry, reflectance (diffuse, specular and roughness), pose, camera parameters, and scene illumination - are estimated from unconstrained monocular images. The proposed method models scene illumination via a novel, parameterized virtual light stage, which in-conjunction with differentiable ray-tracing, introduces a coarse-to-fine optimization formulation for face reconstruction. Our method can not only handle unconstrained illumination and self-shadows conditions, but also estimates diffuse and specular albedos. To estimate the face attributes consistently and with practical semantics, a two-stage optimization strategy systematically uses a subset of parametric attributes, where subsequent attribute estimations factor those previously estimated. For example, self-shadows estimated during the first stage, later prevent its baking into the personalized diffuse and specular albedos in the second stage. We show the efficacy of our approach in several real-world scenarios, where face attributes can be estimated even under extreme illumination conditions. Ablation studies, analyses and comparisons against several recent state-of-the-art methods show improved accuracy and versatility of our approach. With consistent face attributes reconstruction, our method leads to several style -- illumination, albedo, self-shadow -- edit and transfer applications, as discussed in the paper.
The Probability Frontier or, Covariance Crunch: A New Paradigm for Mean-Variance Optimization

Three innovative concepts are combined here to create a new and unique framework for optimizing a portfolio of investments or bets. These inventions are:1) The Probability Frontier, a generalization of the Markowitz Efficient Frontier;2) The Positive Probability Estimate, which estimates the chance of a market to move up in the coming period, regardless of the magnitude of the move; and3) The Directional Covariance, which measures the tendency of markets to move together, regardless of the size of the moves.Looking at both market moves and their covariances in terms of pure directionality, treating their magnitudes as “noise” on the premise (demonstrated decisively in this paper) that direction is more robustly predictable, dramatically improves the optimized system performance. Indeed, if our estimates can’t even get market directions right, what’s the point of quibbling over tenths of a percentage point? Don’t shrink that covariance matrix; crush it!
LibGuides: Virtual Potluck: Bringing Ossining to the Table!: Join our Virtual Potluck

Ashley Covelli, of Big Flavors from a Tiny Kitchen, will lead an exciting new program to build community over food, recipes, and conversations centered around cookbooks!
Hindi History Note Generation with Unsupervised Extractive Summarization

In this work, the task of extractive single document summarization applied to an education setting to generate summaries of chapters from grade 10 Hindi history textbooks is undertaken. Unsupervised approaches to extract summaries are employed and evaluated. TextRank, LexRank, Luhn and KLSum are used to extract summaries. When evaluated intrinsically, Luhn and TextRank summaries have the highest ROUGE scores. When evaluated extrinsically, the effective measure of a summary in answering exam questions, TextRank summaries performs the best.
Psychological Aspects of Cyber Socialization Among Modern Students

The article presents the psychological analysis of cyber socialization process among modern students. The main sources of empirical research are the results of student subjective perception of activity diagnostics in the information and communication space of Internet and the analysis of data on the symptoms of information stress due to the active use of cyber-resources by students.
A NEW METHOD FOR THE CONSTRUCTION OF RELATEDNESS SEMANTIC NET. BASED ON DISTRIBUTIONAL SEMANTICS

In this paper, proposal of local semantic net. created by a new special algorithm  called automatic semantic net algorithm (ASN). finding the relevance degree between words in self-document without background knowledge is the focus of attention of this proposal, depends mainly on the characteristics of distributional semantic which contributed to build a specific word-net for each document. In addition to that taking into account the convergence between the sequence of words in document addition to frequency of each word. used the amendment on (Wu & Palmer) similarity metric measurer to make it commensurate with the proposed semantic net. experimental results it was very convincing compared to prior knowledge semantic net approach and the modify on standard similarity metric measure gave better results.
Usability Assessment of Mobile Software Applications: A Systematic Review

The evolution of subjective programming has been considered as a huge piece of programming planning. With the extended enthusiasm of portable applications customers, the idea of the flexible applications transforms into a critical concern. The amount of studies shows issues while the usability of flexible applications and proposed various procedures for its evaluation. In any case, none of the models proposed gives a thorough way for looking over the usability of convenient applications. For this, one needs to initially understand the research and studies already been provided by various researchers distinguish the variables on which ease of use depends. The paper, talk about the key idea of ease of use of portable or mobile applications and discuss various studies stated by different authors. Also, the paper focuses on the current scenario in which usability exists and what actually more is needed to develop a good quality usable software.
Georgina Tuari Stewart on <i>Decolonizing and Indigenizing Education in Canada</i>

Currently, Canada is in a post-TRC moment: the 2015 TRC or Truth and Reconciliation Commission report marks a breakpoint in the history of its intercultural relationships at the national scale, and...
TypeNet: Deep Learning Keystroke Biometrics

We study the performance of Long Short-Term Memory networks for keystroke biometric authentication at large scale in free-text scenarios. For this we introduce TypeNet, a Recurrent Neural Network (RNN) trained with a moderate number of keystrokes per identity. We evaluate different learning approaches depending on the loss function (softmax, contrastive, and triplet loss), number of gallery samples, length of the keystroke sequences, and device type (physical vs touchscreen keyboard). With 5 gallery sequences and test sequences of length 50, TypeNet achieves state-of-the-art keystroke biometric authentication performance with an Equal Error Rate of 2.2% and 9.2% for physical and touchscreen keyboards, respectively, significantly outperforming previous approaches. Our experiments demonstrate a moderate increase in error with up to 100,000 subjects, demonstrating the potential of TypeNet to operate at an Internet scale. We utilize two Aalto University keystroke databases, one captured on physical keyboards and the second on mobile devices (touchscreen keyboards). To the best of our knowledge, both databases are the largest existing free-text keystroke databases available for research with more than 136 million keystrokes from 168,000 subjects in physical keyboards, and 60,000 subjects with more than 63 million keystrokes acquired on mobile touchscreens.
Habilidades transversales, desarrollo personal y profesional en la docencia a través de la plataforma Habilitic

La docencia es una labor comprometida con el conocimiento, pues transforma la sociedad a traves del desarrollo del ser; por tanto, es necesaria la formacion docente encaminada hacia el desarrollo de saberes para la transformacion, sin ser reducida a ejecuciones tecnicas o pedagogicas. Esta debe basarse en un pensamiento holistico, critico y centrado en el estudiante. Dadas dichas necesidades de formacion, nace Habilitic, una herramienta interactiva que identifica las habilidades transversales del docente y las clasifica en terminos de capacidad comunicativa, relacionamiento, gestion del tiempo, trabajo en equipo y manejo de recursos TIC. Una vez identificadas y clasificadas las habilidades, la herramienta sugiere tres alternativas para incrementar o afianzar la interaccion social y el equilibrio personal: la primera, realizar talleres para el fortalecimiento de dichas destrezas; la segunda, validar su desempeno; y la tercera, plantear al docente el diseno de proyectos basados en sus fortalezas.Palabras clave: Competencias, interaccion social, desarrollo personal. ABSTRACTTeaching is a task committed to knowledge, because it transforms society through the development of being; therefore, it is necessary to train teachers towards the development of knowledge for transformation, without being reduced to technical or pedagogical performances. It must be based on a holistic, critical and student-centered thinking. Based on these training needs, Habilitic has been created as an interactive tool that identifies the transverse skills of the teacher and classify them in terms of communicative capacity, relationship, time management, teamwork and ICT resource management. Once the skills have been identified and classified, the tool suggests three alternatives to increase or strengthen social interaction and personal balance: the first, to hold workshops to strengthen these skills; the second, to validate the teacher performance; and the third, to propose to the teachers the design of projects based on their strengths.Keywords:Competences, social interaction, personal development.
Design And Implementation Of It Helpdesk Application Using Knowlegde Management System Approach: Design And Implementation Of It Helpdesk Application Using Knowlegde Management System Approach

The agency, Helpdesk is part of a department that executes methods for collecting data from various sources and is assigned to serve and respond to user needs. In the development of Helpdesk this can provide services, solve problems and provide solutions to the problems of hardware, software, network, and applications or things related to office work. The Web helpdesk also helps to accelerate information and address problems. The IT assistance help is still applied to solve the problem of every institution currently only send email, via phone and chat app via Android. If there is a problem related to the technical work, the party will contact IT by telephone or chat, sometimes IT negligent to inform its clients where the drive is completed or is working process. For that I created an application that aims to overcome it. IT is expected that the Helpdesk application uses the Knowlegde management System approach to shorten the time of problem handling, providing solutions to the same problem that does not reissue, provide a legitimate and controlled IT job report, and also achieve the objectives of the employment satisfaction to the workers.
METHOD OF OPTICAL FLOW CALCULATION BASED ON FEATURE AUGMENTATION

The paper addresses the problem of robust optical flow computation for real-time applications. We present an efficient, in presence of varying illumination and large displacements, method of dense optical flow calculation based on Robust Local Optical Flow (RLOF). Introduction of Adaptive and Generic Accelerated Segment Test (AGAST) feature detector with additional augmentation by simple grid points provides a stable and reliable under difficult conditions set of features and uniform points that produces dense and accurate optical flow and leads to better performance. The usage of feature points for prior initialization leads for robustness for large displacements as well. The other essential step of optical flow calculation – densification of optical flow – was strengthen by modification of weights. The raster interpolation was applied with weights on second derivatives to make more edgesensitive optical flow. To enhance the overall result, a post-processing step of variational refinement process were added to optical flow calculation framework. The proposed method was evaluated on Max Planck Institute (MPI) Sintel dataset – a challenging set of 3D-animated movies with large range of motions and illuminations, which has ground truth optical flow available. The comparison with initial RLOF method were measured by running time and quality parameters, measured by End Point Error (EPE) and Angular Error (AE). The evaluation shows the decrease of running time by approximately 40 % and improvement of EPE and AE, that demonstrates the effectiveness of the method.
Keynote III: Boolean Logic Networks for Machine Learning

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. This talk explores the use of logic networks and Boolean methods in machine learning (ML). Both synthesis and verification are addressed. On the synthesis side, we introduce a novel ML model based on logic networks, which can potentially replace neural networks in some applications. The advantages are, substantially reduced evaluation latency, simpler hardware implementation (no need for memories and arithmetic operations), straight-forward design automation. The challenge is, matching the accuracy of neural networks. On the verification side, we use logic networks, in particular, and-inverter graphs (AIGs), to detect overfitting in any ML model using only the AIG representation of the model and the training data, assuming that the evaluation data is not available or cannot be trusted. BIOGRAPHY
Modelling and Annotating Interlinear Glossed Text from 280 Different Endangered Languages as Linked Data with LIGT

This paper reports on the harvesting, analysis, and enrichment of 20k documents from 4 different endangered language archives in 300 different low-resource languages. The documents are heterogeneous as to their provenance (holding archive, language, geographical area, creator) and internal structure (annotation types, metalanguages), but they have the ELAN-XML format in common. Typical annotations include sentence-level translations, morpheme-segmentation, morpheme-level translations, and parts-of-speech. The ELAN-format gives a lot of freedom to document creators, and hence the data set is very heterogeneous. We use regularities in the ELAN format to arrive at a common internal representation of sentences, words, and morphemes, with translations into one or more additional languages. Building upon the paradigm of Linguistic Linked Open Data (LLOD, Chiarcos, Nordhoff, et al. 2012), the document elements receive unique identifiers and are linked to other resources such as Glottolog for languages, Wikidata for semantic concepts, and the Leipzig Glossing Rules list for category abbreviations. We provide an RDF export in the LIGT format (Chiarcos & Ionov 2019), enabling uniform and interoperable access with some semantic enrichments to a formerly disparate resource type difficult to access. Two use cases (semantic search and colexification) are presented to show the viability of the approach.
Information-Loss-Bounded Policy Optimization

Proximal and trust-region policy optimization methods (PPO and TRPO) belong to the standard reinforcement learning toolbox. Notably, PPO can be viewed as transforming the constrained TRPO problem into an unconstrained one, either via turning the constraint into a penalty or via objective clipping. In this chapter, an alternative problem reformulation is studied, where the information loss is bounded using a novel transformation of the KullbackLeibler (KL) divergence constraint. In contrast to PPO, the considered method does not require tuning of the regularization parameter, which is known to be hard due to its sensitivity to the reward scaling. The resulting algorithm, termed information-loss-bounded policy optimization (ILBPO), both enjoys the benefits of the first-order methods, being straightforward to implement using automatic differentiation, and maintains the advantages of the quasi-second order methods. It performs competitively in simulated OpenAI MuJoCo environments and achieves robust performance on a real robotic task of the Furuta pendulum swing-up and stabilization.
군산 중화기독교회의 역사: 호남지역 화교의 성쇠와 맥을 같이한 이민자교회

This article illustrated the history of the Chinese Christian church in the Jeolla region. Before the liberation in 1945, the first Chinese Christian community was organized in Jeonju and Gunsan in 1929 as a result of a three-month-tour of the Chinese evangelistic band in 1928 with the support of missionaries working in China and Korea. With Southern Presbyterian Missionary Samuel D. Winn’s constant attention to the Chinese, Jeonju's community flourished. However, after the Second Sino-Japanese War, the Pacific War, and the Korea War, the community began falling apart. After the liberation, the Korea Mission of the PCUSA invited a missionary, Helen B. McClain, to take charge of Chinese evangelism. Due to the efforts of Ms. McClain and the deaconess Jihua Chao, the second generation of overseas Chinese in Gunsan was able to organize the Chinese Christian community again from 1959, and the church was officially established in 1963. Since then, the Gunsan Chinese Christian church, in accordance with the changes in the composition of the Chinese population, has gradually changed from the traditional overseas-Chinese-centered church to an 'immigrant church' that helps the settlement of new immigrants from mainland China. The church also has established cooperative relations with Koreans and local Korean churches by operating Chinese language classes or helping to train Korean missionaries for China. However, due to the decrease in the number of Chinese and the absence of a pastor, only two church members are currently holding the church, which is seeking to play a role in the new era.