In this paper, novel gradient-based online learning algorithms are developed to investigate an important environmental application: real-time river pollution source identification, which aims at estimating the released mass, location, and time of a river pollution source based on downstream sensor data monitoring the pollution concentration. The pollution is assumed to be instantaneously released once. The problem can be formulated as a non-convex loss minimization problem in statistical learning, and our
Генетический алгоритм нужен, когда ты знаешь параметры своей нейросети, но не знаешь, что должно получиться на выходе, например, этот алгоритм можно использовать для игры в Google динозаврика или...
Алоха всем. Ни для кого не секрет, что алгоритмические задачи уже стали/становятся обыденными на техническом интервью. Кто-то может любить это, кто-то ненавидеть, но факт остается фактом, что бы...
Image quality assessment (IQA) databases enable researchers to evaluate the performance of IQA algorithms and contribute towards attaining the ultimate goal of objective quality assessment research - matching human perception. Most publicly available image quality databases have been created under highly controlled conditions by introducing graded simulated distortions onto high-quality photographs. However, images captured using typical real-world mobile camera devices are usually afflicted by complex mix
We use neural graph networks with a message-passing architecture and an attention mechanism to enhance the branching heuristic in two SAT-solving algorithms. We report improvements of learned neural heuristics compared with two standard human-designed heuristics.
This week on KDnuggets: Learn how to perform data quality checks using pandas, from detecting missing records to outliers, inconsistent data entry and more • The top vector databases are known for their versatility, performance, scalability, consistency, and efficient algorithms in storing, indexing, and querying vector embeddings for AI applications…
Master algorithms, including deep learning like LSTMs, GRUs, RNNs, and Generative AI & LLMs such as ChatGPT, with Packt's 50 Algorithms Every Programmer Should Know.
The article discusses how Bayesian multi-armed bandit algorithms can optimize digital media title selection, surpassing traditional A/B testing methods, demonstrated with a Python example, to boost audience engagement and decision-making in content creation.
The article discusses how Bayesian multi-armed bandit algorithms can optimize digital media title selection, surpassing traditional A/B testing methods, demonstrated with a Python example, to boost audience engagement and decision-making in content creation.
The top vector databases are known for their versatility, performance, scalability, consistency, and efficient algorithms in storing, indexing, and querying vector embeddings for AI applications.
Description There is an undirected tree with n nodes labeled from 1 to n. You are given the integer n and a 2D integer array edges of length n - 1, where edges[i] = [ui, vi] indicates that there is...
Learn how to implement Prim's algorithm in C to find the minimum spanning tree of a weighted undirected graph. Understand greedy algorithms and MST construction.
In online businesses, personalization of site content is crucial for providing a better user experience and increasing customer engagement. Machine learning algorithms are often used to analyze customer data such as browsing behavior, purchase history to tailor the website content to each…
Company / App Name: Acturhire https://www.acturhire.com/ Twitter – WHAT DOES IT DO? Acturhire is a job board for the actuarial profession. Using advanced algorithms, we connect actuarial candidates with leading employers, ensuring tailored job recommendations for every user. WHY DO WE NEED IT? The process of finding an actuarial job is broken. Most recruitment goes…
This list of machine learning algorithms is a good place to start your journey as a data scientist. You should be able to identify the most common models and use them in the right applications.
The modern digital ecosystem, buzzing with the chatter of data and algorithms, presents both promises and challenges. In this intricate web, generative artificial intelligence (GenAI) shines as a beacon of innovation. To harness this power, enterprises need more than just cutting-edge technology. They need a bridge between ambition and realization—a role aptly filled by… Read More »How technical program managers can build a robust Generative AI future
There are several algorithms for measuring fairness of ML models. A fundamental assumption in these approaches is that the ground truth is fair or unbiased. In real-world datasets, however, the ground truth often contains data that is a result of historical and societal biases and discrimination.…