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    University of Social Sciences Researcher Targets Machine Learning (Using Machine Learning for Short-term Capital Investment in the Polish Stock Market)

    70-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news originatingfrom Lodz, Poland, by NewsR x correspondents, research stated, “The main purpose of this article is toasses s the potential implications of machine learning in making investment decisions when investing capitalin stock markets.”

    Studies from University of Lahore Have Provided New Data on Machine Learning (An alyzing Amazon Products Sentiment: A Comparative Study of Machine and Deep Learn ing, and Transformer- Based Techniques)

    71-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from Punjab, Paki stan, by NewsRx correspondents, research stated, “In recent years, onlineshoppi ng has surged in popularity, with customer reviews becoming a crucial aspect of the decision-makingprocess. Reviews not only help potential customers make info rmed choices, but also provide businesseswith valuable feedback and build trust .”

    Findings from National University of Defense Technology Broaden Understanding of Robotics and Automation (Spatio-temporal Calibration for Omni-directional Vehic le-mounted Event Cameras)

    72-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics - Robotics and Automation. According to news reporting originating in H unan, People’s Republic of China, by NewsRx journalists, research stated,“We pr esent a solution to the problem of spatio-temporal calibration for event cameras mounted on anonmi-directional vehicle. Different from traditional methods that typically determine the camera’s pose withrespect to the vehicle’s body frame using alignment of trajectories, our approach leverages the kinematiccorrelatio n of two sets of linear velocity estimates from event data and wheel odometers, respectively.”

    Research Findings from Southeast University Update Understanding of Pattern Reco gnition and Artificial Intelligence (Few-Shot Text Classification with an Effici ent Prompt Tuning Method in Meta- Learning Framework)

    72-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on pa ttern recognition and artificial intelligence. Accordingto news reporting origi nating from Jiangsu, People’s Republic of China, by NewsRx correspondents,resea rch stated, “Meta-learning stands as a prevalent framework utilized in few-shot learning methods.”

    Dalian National Laboratory for Clean Energy Researchers Report on Findings in Ma chine Learning (Machine learning for fast development of advanced energy materia ls)

    73-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New study results on artificial intelligence have been published. According to news reporting fromLiaoning, People’s Republic of China, by NewsRx journalists, research stated, “With its unique advantagesin a rtificial intelligence, data analysis, interpolation and numerical extrapolation , etc.”

    New Robotics and Automation Study Findings Recently Were Reported by Researchers at Zhejiang University (Resource-efficient Cooperative Online Scalar Field Mapp ing Via Distributed Sparse Gaussian Process Regression)

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics - Roboti cs and Automation are discussed in a newreport. According to news reporting out of Hangzhou, People’s Republic of China, by NewsRx editors,research stated, “C ooperative online scalar field mapping is an important task for multi-robot syst ems.Gaussian process regression is widely used to construct a map that represen ts spatial information withconfidence intervals.”

    Data on Robotics Detailed by Researchers at Technical University Munich (TU Muni ch) (Curriculum Learning for Robot Manipulation Tasks With Sparse Reward Through Environment Shifts)

    75-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on robotics have bee n published. According to news originatingfrom Munich, Germany, by NewsRx corre spondents, research stated, “Multi-goal reinforcement learning(RL) with sparse rewards poses a significant challenge for RL methods. Hindsight experience repla y (HER)addresses this challenge by learning from failures and replacing the des ired goals with achieved states.”

    Recent Findings in Robotics and Automation Described by Researchers from Chinese Academy of Sciences (Unsupervised Hierarchical Iterative Tile Refinement Networ k With 3d Planar Segmentation Loss)

    76-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics - Robotics a nd Automation have been presented. Accordingto news reporting from Shenyang, Pe ople’s Republic of China, by NewsRx journalists, research stated, “Unsupervised real-time stereo matching is of great research value in robot navigation due to its independencefrom ground truth and real-time efficiency. The core challenge lies in the design of loss functionsthat can provide accurate guidance and the efficient network architectures.”

    Reports from Shanghai Jiao Tong University Describe Recent Advances in Machine L earning (A Fast Method for Nested Estimation)

    76-76页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Shan ghai, People’s Republic of China, by NewsRx correspondents, researchstated, “Ne sted estimation involves estimating an expectation of a function of a conditiona l expectationand has many important applications in operations research and mac hine learning. Nested simulation is aclassic approach to this estimation, and t he convergence rate of the mean squared error (MSE) of nestedsimulation estimat ors is only of order Gamma-2=3, where Gamma is the simulation budget.”

    Reports from Jiangxi University of Finance and Economics Describe Recent Advance s in Machine Learning (Does Low Carbon City Pilot Promote Urban Carbon Unlocking ?– a Heterogeneity Analysis Based On Machine Learning)

    77-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Nanchang, People’s Republic of China, by NewsRx correspondents, researchstated, “Carbon l ock-in has become a major obstacle to green development in all countries, and carbon unlocking (CUL) is of great significance in accelerating the process of car bon neutrality worldwide.Based on the panel data of 292 prefecture-level cities in China from 2006 to 2020, this paper constructs aPSM-DID model based on mach ine learning to empirically test the impact of LCCP policy on urban CUL.”