544(机器学习编程篇4)6.1 Machine Learning on Spark - 1 21:21 545(机器学习编程篇4)6.1 Machine Learning on Spark - 2 21:28 546(机器学习编程篇4)6.1 Machine Learning on Spark - 3 21:22 547(机器学习编程篇4)6.2 Machine Learning on Spark - 1 06:23 548(机器学习编程篇4)6.2 Machine Learnin...
a statistical testing step where only the SNPs selected in step 1 are tested for association. The main idea underlying COMBI is the use of the state-of-the-art machine learning technique support vector machine (SVM)16–18 in the first step. Crucially, this method is tailored to predict the...
We show that the sample complexity of MIL is only poly-logarithmically dependent on the size of the bag, for any underlying hypothesis class. In addition, we introduce a new PAC-learning algorithm for MIL, which uses a regular supervised learning algorithm as an oracle. We prove that ...
aBenchmark lamp 基准灯[translate] aSuch learning process needs to be conducted on every machine as the hypothesis learned on one machine may not apply to other machines. 因为在一个机器学会的假说可能不适用于其他机器,这样学习进程在每个机器需要被举办。[translate]...
Control structures in hypothesis spaces: the influence on learning Theoretical Computer Science, 270 (1–2) (2002), pp. 287-308 View PDFView articleView in ScopusGoogle Scholar [12] J. Case, C. Lynes Machine inductive inference and language identification M. Nielsen, E.M. Schmidt (Eds.),...
Note: in this result, the target concept c and concept class \mathcal{C} does not matter as long as \mathcal{A} can find a consistent hypothesis h_S from the random sample S . Note: recall the three conditions we introduced in the previous lecture about PAC learning: enough data, ...
HyPhy is an open-source software package for the analysis of genetic sequences using techniques in phylogenetics, molecular evolution, and machine learning. It features a complete graphical user interface (GUI) and a rich scripting language for limitless customization of analyses. Additionally, HyPhy ...
On the complexity of hypothesis space and the sample complexity for machine learningThe problem of learning a concept from examples in the model introduced by Valiant (1984) is discussed. According to the traditional ways of thinking, it is assumed that the learnability is independent of the ...
Learning as Search Igor Kononenko, Matjaž Kukar, in Machine Learning and Data Mining, 2007 5.10 SUMMARY AND FURTHER READING We do not live for the body, however, without the body we cannot live. — Seneca • The hypothesis space is defined with a set of all hypotheses that can be der...
- 《Machine Learning》 被引量: 400发表: 1997年 Generalizing Case Frames Using a Thesaurus and the MDL Principle We address the problem of automatically acquiring case-frame patterns from large corpus data. In particular, we view this problem as the problem of estimat... L Hang,N Abe - 《...