大小
发表于 2025-3-21 18:36:47
书目名称Learning and Geometry: Computational Approaches影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0582881<br><br> <br><br>书目名称Learning and Geometry: Computational Approaches影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0582881<br><br> <br><br>书目名称Learning and Geometry: Computational Approaches网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0582881<br><br> <br><br>书目名称Learning and Geometry: Computational Approaches网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0582881<br><br> <br><br>书目名称Learning and Geometry: Computational Approaches被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0582881<br><br> <br><br>书目名称Learning and Geometry: Computational Approaches被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0582881<br><br> <br><br>书目名称Learning and Geometry: Computational Approaches年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0582881<br><br> <br><br>书目名称Learning and Geometry: Computational Approaches年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0582881<br><br> <br><br>书目名称Learning and Geometry: Computational Approaches读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0582881<br><br> <br><br>书目名称Learning and Geometry: Computational Approaches读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0582881<br><br> <br><br>
BRACE
发表于 2025-3-21 20:35:10
Learning by MDLMachine learning has been formalized as the problem of estimating a conditional distribution as the ‘concept’ to be learned. The learning algorithm is based upon the MDL (Minimum Description Length) principle. The asymptotically optimal learning rate is determined for a typical example.
背心
发表于 2025-3-22 02:59:59
Pac Learning, Noise, and GeometryThis paper describes the probably approximately correct model of concept learning, paying special attention to the case where instances are points in Euclidean n-space. The problem of learning from noisy training data is also studied.
ALIBI
发表于 2025-3-22 07:45:31
Geometry Theorem Proving in Euclidean, Descartesian, Hilbertian and Computerwise FashionThe evolution and development of geometry theorem-proving, dating from Euclid’s “Elements” in 3c B.C., may be divided into several stages as indicated in the title of the paper. Achievements in recent years due to the Mathematics-Mechanization Group of the Institute of Systems Science, Academia Sinica are also briefly described.
Pander
发表于 2025-3-22 11:20:06
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让步
发表于 2025-3-22 15:37:10
978-1-4612-8646-2Birkhäuser Boston 1996
OVERT
发表于 2025-3-22 18:13:07
Learning and Geometry: Computational Approaches978-1-4612-4088-4Series ISSN 2297-0576 Series E-ISSN 2297-0584
grovel
发表于 2025-3-22 23:43:42
A Review of Some Extensions to the PAC Learning Modelmalize the notion of learning from examples. In this paper, we review several extensions to the basic PAC model with a focus on the information complexity of learning. The extensions discussed are learning over a class of distributions, learning with queries, learning functions, and learning from generalized samples.
explicit
发表于 2025-3-23 02:43:58
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largesse
发表于 2025-3-23 07:54:12
2297-0576 ns to artificial intelligence became apparent, the new field grew rapidly. The learning of geo metric objects became a natural area of study. The possibility of using learning techniques to compensate for unsolvability provided an attraction for individ uals with an immediate need to solve such di