filicide
发表于 2025-3-28 17:13:08
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Crayon
发表于 2025-3-28 21:45:47
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DAMN
发表于 2025-3-28 23:09:04
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易受骗
发表于 2025-3-29 06:08:13
ICON Loop Health Show CaseIn this document we describe the health show case for the ICON project. This corresponds to Task 6.2 in WP 6 of the Description of Work for the project. The description provides a high-level abstraction, detailed description of the interfaces between modules, and a description of sample data.
Stress
发表于 2025-3-29 08:28:55
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aristocracy
发表于 2025-3-29 12:39:47
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chandel
发表于 2025-3-29 17:10:13
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inconceivable
发表于 2025-3-29 23:34:05
Learning Constraint Satisfaction Problems: An ILP Perspectiveems are the underlying basis for constraint programming and there is a long standing interest in techniques for learning these. Constraint satisfaction problems are often described using a relational logic, so inductive logic programming is a natural candidate for learning such problems. So far, the
Medicaid
发表于 2025-3-30 02:19:42
Learning Modulo Theories. Being able to precisely specify all constraints and their respective importance beforehand is often infeasible for the most experienced designer, let alone for a typical decision maker. In this chapter we discuss Learning Modulo Theories (LMT), a learning framework capable of dealing with hybrid d
含铁
发表于 2025-3-30 04:10:23
Algorithm Selection for Combinatorial Search Problems: A Surveylly relevant in the last decade, as researchers are increasingly investigating how to identify the most suitable existing algorithm for solving a problem instead of developing new algorithms. This survey presents an overview of this work focusing on the contributions made in the area of combinatoria