This book is a thorough introduction to the most important topics in data mining and machine learning. It begins with a detailed review of classical function estimation and proceeds with chapters on nonlinear regression, classification, and ensemble
Graphs are ubiquitous. There is hardly any domain in which objects and their relations cannot be intuitively represented as nodes and edges in a graph. Graph theory is a well-studied sub-discipline of mathematics, with a large body of results and a
Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within edu
Machine Learning, Optimization, and Big Data: Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers (Lecture Notes in Computer Science) This book constitutes revised selected papers from the Second Int
各种新算法研究，没有足够的数学和英语基础就别下载了。 Artificial Intelligence and Soft Computing: 17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, Proceedings, Part I (Lecture Notes in Computer Science) The two-volume set LNAI 10841 and LNAI 10842
TAC KBP Chinese Entity Linking Comprehensive Training and Evaluation Data 2011-2014 LDC2015E17 March 20, 2015 Linguistic Data Consortium 1. Overview Text Analysis Conference (TAC) is a series of workshops organized by the National Institute of Stand
Quasar 是一个 Java 库，提供了高性能、轻量级的线程，类似 Go 语言的 Channel，Erlang 语言的 Actor 和其他异步编程工具。
In Maven:
co.paralleluniverse
quasar-core
0.4.0
To use actors, add
co.paralleluniverse
quasar-actors
0.4.0
For clustering support add:
co.p
大数据下的机器学习算法综述，介绍利用大数据做机器学习的常用算法ordan
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4.2
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Tucker
Memory -Efficient Tucker Decomposition MET
MET
densed Nearest Neighbor CNN
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MET
ted Nearest Neighbor ENN
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Regularize
With a few exceptions, academic packing algorithms for FPGAs are typically applied solely
to theoretical architectures. This has allowed the algorithms to focus on the basic components of
packing while abstracting away many of the details dictated by
Matrix factorization is a powerful data analysis tool. It has been used in multivariate time series analysis, leading to the decomposition of the series in a small set of latent factors. However, little is known on the statistical performances of mat
为了同时对数据对象和特征进行聚类分析以提高聚类准确率,在模糊紧致性和分离性算法(fuzzy compactness and separation,FCS)基础上,提出一种结合类内紧致性和类间分离性的模糊联合聚类算法(fuzzy compactness and separation co-clustering,FCSCC)。该算法在FCS的基础上增加了对特征维度的隶属度关系与熵最大化原理,能够在数据对象和特征2个维度上同时聚类。为验证该算法的有效性,另选择了3种算法在5个数据集上进行了对比实验,结
Akka is a Scala-based toolkit that simplifies developing concurrent distributed applications. Akka uses Actors-independently executing processes that communicate via message passing—as the foundation for fault-tolerant applications where individual a
