科技司将招聘专家并培训现有人员，以提高从业人员的AI/ML能力，从而更有效地完成科技任务。此外，科技司...
[2]Advanced Topics in Computational Learning Theory, Spring 2012 [3]A Survey of Quantum Learning ...
Yisong Yue is a professor in the Computing and Mathematical Sciences Department at the California Institute of Technology. His research interests lie primarily in the theory and application of statistical machine learning.
The 38th Annual Conference on Learning Theory (COLT 2025) will take place June 30th-July 4th, 2025 in Lyon, France. We invite submissions of papers addressing theoretical aspects of machine learning, broadly defined as a subject at the intersection of computer science, statistics and applied mathe...
In subject area: Computer Science Machine Learning Theory refers to the understanding of what is necessary for successful and efficient learning in the field of artificial intelligence. It involves developing models that can learn from experience and make predictions based on relationships between variable...
Computer ArchitectureComputer EthicsCybersecurityData Structures & Theory of ComputationDatabases & Enterprise ComputingGame Design & DevelopmentIntroductory Computer Science (CS0)NetworkingProgramming LanguagesSoftware EngineeringWeb Development Featured Webinar ...
cbb1ALTInternational Conference on Algorithmic Learning Theory2024-10-012024-12-202025-02-24 CNSCTInternational Conference on Cryptography, Network Security and Communication Technology2022-12-192023-01-06 BDAICTInternational Conference on Big Data, Artificial Intelligence and Computer Technology2020-06-162020...
Computer ArchitectureComputer EthicsCybersecurityData Structures & Theory of ComputationDatabases & Enterprise ComputingGame Design & DevelopmentIntroductory Computer Science (CS0)NetworkingProgramming LanguagesSoftware EngineeringWeb Development Featured Webinar ...
machine learning, broadly defined as a subject at the intersection of computer science, statistics and applied mathematics. We strongly support an inclusive view of learning theory, including fundamental theoretical aspects of learnability in various contexts, and theory that sheds light on empirical ...
为了深入了解大模型的科学原理并确保其安全，可解释变得日益重要。解释大模型带来了很多独特挑战：（1）大...