Explore Microsoft's innovative approach to query optimization in production environments, addressing challenges with general-purpose optimization and introducing specialized cloud-based optimizers. Learn about the implementation details, experiments conducted, and the solution proposed. Discover how

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A detailed account of the remediation process undertaken by the Portfolio Committee on Higher Education, Science, and Innovation concerning funding outcomes for students. Issues such as processing gaps, hybrid applications, and missing parental relationships led to a review of funding decisions. The

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Optimization in process engineering involves obtaining the best possible solution for a given process by minimizing or maximizing a specific performance criterion while considering various constraints. This process is crucial for achieving improved yields, reducing pollutants, energy consumption, an

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The Worker Retraining Program in Washington State focuses on re-employing dislocated workers in high-demand fields. With funding of nearly $40 million annually, the program supports training, tuition, and support services at Community and Technical Colleges. Enrollment trends correlate with state un

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Swarm Intelligence (SI) is an artificial intelligence technique inspired by collective behavior in nature, where decentralized agents interact to achieve goals. Swarms are loosely structured groups of interacting agents that exhibit collective behavior. Examples include ant colonies, flocking birds,

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The DNN Inference Optimization Challenge, organized by Liya Yuan from ZTE, focuses on optimizing deep neural network (DNN) models for efficient inference on-device, at the edge, and in the cloud. The challenge addresses the need for high accuracy while minimizing data center consumption and inferenc

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CARES Act Funding Compliance Requirements provide guidelines for organizations receiving federal funding under the CARES Act, specifying audit requirements and uniform guidance to ensure financial accountability. This includes details on types of funding, responsibilities of schools and auditors, Ch

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Explore the funding streams available to support children and young people with SEND in schools, including the National Funding Formula and Dedicated Schools Grant (DSG). Learn how funding is allocated, ways to ensure quality support, and the importance of monitoring spending for strong outcomes. Di

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ESFA has released funding guidance for academic years 2022-2023 and 2023-2024, covering student eligibility rules, fees, and the relationship between fees and eligibility. The presentation aims to clarify the SEG rules and help institutions understand the guidelines. Updates for the new funding cycl

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Proposal writing is essential in academia for securing funding. This workshop at Benue State University shed light on the importance of persuading reviewers and addressing unspoken needs of funding agencies. Key elements such as conceptual innovation, methodological rigor, and rich substantive conte

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The study reveals that 58 percent of education funding in South Carolina is not student-centered, impacting all types of schools, including charters. It emphasizes the importance of fair funding based on student needs and performance, promoting transparency, empowerment of districts and parents, and

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Discover the steps and requirements for local voluntary youth organisations seeking funding in 2023-2024. Learn about generic/non-targeted funding, eligibility criteria, application stages, and funding utilization. Access the Education Authority's funding portal and navigate the registration and app

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Discrete Optimization is a field of applied mathematics that uses techniques from combinatorics, graph theory, linear programming, and algorithms to solve optimization problems over discrete structures. This involves creating mathematical models, defining objective functions, decision variables, and

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This study delves into the generalization of Empirical Risk Minimization (ERM) in stochastic convex optimization, focusing on minimizing true objective functions while considering generalization errors. It explores the application of ERM in machine learning and statistics, particularly in supervised

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Explore the world of optimization through convex and general problems, understanding the concepts, constraints, and the difference between convex and non-convex optimization. Discover the significance of local and global optima in solving complex optimization challenges.

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Explore the basic components of optimization problems, such as objective functions, constraints, and global vs. local optima. Learn about single vs. multiple objective functions and constrained vs. unconstrained optimization problems. Dive into the statement of optimization problems and the concept

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This presentation focuses on the NPO funding process, budget allocation outcomes for the 2022/23 financial year, and the NPI budget and expenditure as of October 2022. It includes details on the overall NPO financial monitoring outcomes, funding preparations for the upcoming financial year, and cond

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Discover how startup funding works and explore effective strategies to secure financial support for your small business. This guide covers various funding options, including venture capital, loans, and grants, to help you navigate the funding landsca

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The National Funding Formula Stage 2 aims to enhance educational opportunities in Bath & North East Somerset. It addresses factors like per-pupil funding, English as an additional language, low prior attainment, deprivation, and additional needs. Allocations detail funding based on pupil categories

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ASI (Associated Students Incorporated) provides funding for student organizations to enhance the educational experience of CSUEB students. Funding requests are not guaranteed, and there are specific limits and criteria for club funding. The ASI mission is to put students' needs first and advocate fo

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Recent research highlights advancements in solving sampling problems in convex optimization, exemplified by works by Yin Tat Lee and Santosh Vempala. The complexity of convex problems, such as the Minimum Cost Flow Problem and Submodular Minimization, are being unraveled through innovative formulas

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Explore the differences in funding between charter schools and traditional ISDs, sources of funding in charter school systems, the impact of attendance on budget allocation, challenges in the Texas school finance system, and the future outlook for charter school funding amidst potential changes. Del

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Ohio's school funding system involves a formula based on property values, income, and student needs, with disparities in funding between districts. Vouchers divert public funds to private schools, impacting local district budgets. The state funds vouchers for certain students, but funding allocation

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The Florida International University Student Government Association Graduate and Professional Student Committee (GPSC) in Spring 2016 aims to enhance the graduate student experience, promote quality research efforts, and provide educational workshops. The committee consists of Graduate Senators, a M

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This piece discusses approximation algorithms for stochastic optimization problems, focusing on modeling uncertainty in inputs, adapting to stochastic predictions, and exploring different optimization themes. It covers topics such as weakening the adversary in online stochastic optimization, two-sta

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Philanthropic funding totaling $53 million has been allocated for energy efficiency initiatives, aiming to complement existing fast-start funding and drive positive impacts in Article 5 countries. The advantages of funding energy efficiency include promoting ozone-friendly, climate-friendly cooling

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The interconnected nature of surface transportation funding system is highlighted, showing a decline in overall spending across federal, state, and local governments. Challenges in funding call for dialogue among all levels of government. The data reflects expenditures, funding sources, and the vary

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Real-world design problems often require multi-objective optimization, and the Flower Pollination Algorithm (FPA) developed by Xin-She Yang in 2012 mimics the pollination process of flowering plants to efficiently solve such optimization tasks. FPA has shown promising results in extending to multi-o

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Introduction to the CoC Funding Competition for the Fiscal Year 2024-25 NOFO involves a competitive process to secure funding for Cayuga, Onondaga, and Oswego counties from HUD. The local competitions, Consolidated Applications, and the NOFO Funding Overview detail how agencies submit applications,

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This research presents a hybrid optimization heuristic approach for efficient instruction scheduling in programmable accelerator codesign. It discusses Google's TPU architecture, problem-solving strategies, and computation graph mapping, routing, and timing optimizations. The technique overview high

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This presentation discusses the application of machine learning for optimizing EBIS beam intensity and RHIC luminosity. It covers topics such as motivation, EBIS beam intensity optimization, luminosity optimization, and outlines the plan and summary of the project. Collaborators from MSU, LBNL, and

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Bayesian optimization is being used at LCLS to tune the Free Electron Laser (FEL) pulse energy efficiently. The current approach involves a tradeoff between human optimization and numerical optimization methods, with Gaussian processes providing a probabilistic model for tuning strategies. Prior mea

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The evolution of metalearning in the machine learning community is traced from the initial workshop in 1998 to recent developments in hyper-parameter optimization. Challenges in classifier selection and the validity of hyper-parameter optimization claims are discussed, urging the exploration of spec

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The ESFA funding guidance for young people in 2018-2019 covers funding regulations, rates, ILR funding returns, and sub-contracting control regulations. The presentation explains the funding reconciliation policy, calculation methods for 16 to 19 funding, and provides technical advice on ILR data re

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Explore the detailed funding regulations and guidance for young people in the 2016-2017 academic year provided by the EFA Young People's Funding Team. The funding guidance covers topics such as funding rates, ILR funding returns, and sub-contracting control regulations. Institutions are advised on f

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This presentation focuses on the optimization of intergovernmental transfers (IGTs), specifically the relationship between County Fund Accounts (CFAs) and IGTs. It covers topics such as determining optimal funding sources, reconciliation considerations, dispute resolution processes, and educating co

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Continuum of Care (CoC) funding for Cayuga, Onondaga, and Oswego counties is facilitated through a competitive process involving local competitions and consolidated applications. Agencies submit project applications for priority listing and review by the Performance Evaluation and Selection Committe

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Discussing the connection between Artificial Intelligence (AI)/Machine Learning (ML) and Wireless LAN networks, this document explores how AI/ML can improve IEEE 802.11 features, enhance Wi-Fi performance through optimized data sharing, and enable network slicing for diverse application requirements

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Fast Bayesian Optimization optimizes hyperparameters for machine learning on large datasets efficiently. It involves black-box optimization using Gaussian Processes and acquisition functions. Regular Bayesian Optimization faces challenges with large datasets, but FABOLAS introduces an innovative app

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This presentation delves into the concept of price optimization in the auto insurance industry, covering actuarial, economic, and regulatory aspects. It addresses the controversy surrounding price optimization, various state definitions, concerns, and the use of sophisticated tools to quantify busin

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