Algorithms



Algorithms news and articles


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Amazon SageMaker JumpStart is the Machine Learning ML hub of SageMaker providing pre trained, publicly available models for wide range of problem types to help you get started with machine learning. JumpStart also offers example notebooks that use ...


Keywords: zero-shot, container, machine learning, classification
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This scientific paper propose a novel portfolio optimization model using an improved deep reinforcement learning algorithm. The objective function of the optimization model is the weighted sum of the expectation and value at risk(VaR) of portfolio cumulative return. The proposed algorithm is based on actor-critic architecture, in which the main task of critical network is to learn the distribution of portfolio cumulative return using quantile regression, and actor network outputs the optimal por...


Keywords: network, reinforcement learning, algorithmic trading,
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1 Guest Editorial Special Issue on Benchmarking Sampling Based Optimization Heuristics Methodology and SoftwareAuthor s Thomas Bck, Carola Doerr, Bernhard Sendhoff, Thomas SttzlePages 1202 12052 HAWKS Evolving Challenging Benchmark Sets for Cl...


Keywords: sampling, coding, framework, test, spark
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In this paper, I propose a new concept for understanding the role of algorithms in daily life: algorithmic authority. Algorithmic authority is the legitimate power of algorithms to direct human action and to impact which information is considered true. I use this concept to examine the culture of users of Bitcoin, a crypto-currency and payment platform. Through Bitcoin, I explore what it means to trust in algorithmic authority. My study of the Bitcoin community utilizes interview and survey data...


Keywords: rust, bitcoin, crypto, algorithms
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The behavior of predictive algorithms built on data generated by a prejudiced human decision-maker is a prominent concern in the sphere of algorithmic bias. We consider the setting of a statistical and taste-based discriminator screening members of a disadvantaged group. We suppose one of two algorithms are used to score individuals: the algorithm $s_1$ favors disadvantaged individuals while the algorithm $s_2$ exemplifies the group-based prejudice in the training data set. Abstracting away from...


Keywords: statistic, algorithms
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Heart Test Laboratories, d b a HeartSciences, medical technology company focused on saving lives by making an ECG also known as an EKG far more valuable screening tool through the use of Artificial Intelligence AI , announced that it has entered i...


Keywords: nlp, test, artificial intelligence, algorithms
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bat algorithm BA is heuristic algorithm used for resolving optimization problems. The algorithm is inspired by the behaviors of bats x2026 Continue reading on Medium...


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As an example,We have two algorithms that utilize the same dataset and the same train and test data 1 uses k NN and returns the accuracy 2 applies preprocessing before k NN and adds few more things, before returning the accuracy.Although the preproc...


Keywords: algorithms, test, k-nn
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My goal is to upload files to S3 Bucket. The way it is setup at my job, they want to use Power Automate to upload the files. Now you may be asking yourselves Why not use Azure instead of AWS if you are going to use Power Automate Why not use the sFTP...


Keywords: test, api , python, azure
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The performance of individual evolutionary optimization algorithms is mostly measured in terms of statistics such as mean, median and standard deviation etc., computed over the best solutions obtained with few trails of the algorithm. To compare the performance of two algorithms, the values of these statistics are compared instead of comparing the solutions directly. This kind of comparison lacks direct comparison of solutions obtained with different algorithms. For instance, the comparison of b...


Keywords: statistic, algorithms
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This paper leverages machine learned predictions to design online algorithms for the k-max and k-min search problems. Our algorithms can achieve performances competitive with the offline algorithm in hindsight when the predictions are accurate (i.e., consistency) and also provide worst-case guarantees when the predictions are arbitrarily wrong (i.e., robustness). Further, we show that our algorithms have attained the Pareto-optimal trade-off between consistency and robustness, where no other alg...


Keywords: algorithms, design
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The purpose is to promote the orderly development of China's Internet financial transactions and minimize default and delinquency in Internet financial transactions. Based on the typical big data algorithm (K-means algorithm), this paper discusses the concepts of the K-means algorithm and Internet financial transactions, as well as the significance of big data algorithms for Internet financial transaction data evaluation and statistical analysis. Meanwhile, the existing Internet financial transa...


Keywords: big data, statistic, algorithms, analysis
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We study the algorithm configuration AC problem, in which one seeks to find an optimal parameter configuration of given target algorithm in an automated way. Code...


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Ball velocity of pitching is an important factor in baseball players. Commonly, ball velocity measurement requires specific devices such as radar gun. On the other hand, Gomaz et al. developed the accurate ball velocity measurement using two inertial...


Keywords: machine learning, network, test, neural
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This video will show you how to estimate poses and create map of an environment using the onboard sensors on mobile robot in order to navigate an unknown environment in real time, and how to deploy C ROS node of the online SLAM algorithm on robot p...


Keywords: node, matlab, mobile, algorithms

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