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其他 SVMmulticlass: Multi-class classification. Learns to predict one of k mutually exclusive classes. Th
SVMmulticlass: Multi-class classification. Learns to predict one of k mutually exclusive classes. This is probably the simplest possible instance of SVMstruct and serves as a tutorial example of how to use the programming interface.
matlab例程 Apply the standard QR-decomposition based LSL algorithm using angle-normalized error to predict/esti
Apply the standard QR-decomposition based LSL algorithm using angle-normalized error to predict/estimate complex-valued processes.
matlab例程 qrd_rls_AR_pred.m - use the QR decomposition-based RLS algorithm to predict complex-valued AR proce
qrd_rls_AR_pred.m - use the QR decomposition-based RLS algorithm
to predict complex-valued AR process.
matlab例程 rls_AR_pred.m - use basic RLS algorithm to predict real-valued AR proce
rls_AR_pred.m - use basic RLS algorithm to predict real-valued AR proce
数值算法/人工智能 Program for training and testing the Elman Recurrent Neural Network model when used to predict
Program for training and testing the Elman Recurrent Neural Network model when used to predict
驱动编程 FPFilter is a sample disk filter driver that demonstrates how a disk failure prediction filter drive
FPFilter is a sample disk filter driver that demonstrates how a disk failure prediction filter driver could be implemented. A failure prediction filter driver can predict when a disk may fail and notify the disk driver stack of this condition.
游戏 21天学会用JAVA开发网络游戏 书籍语言： 简体中文 书籍类型： 程序设计 授权方式： 免费软件 书籍大小： 287 KB 书籍等级： 整理时间： 2004-1
21天学会用JAVA开发网络游戏
书籍语言： 简体中文
书籍类型： 程序设计
授权方式： 免费软件
书籍大小： 287 KB
书籍等级：
整理时间： 2004-11-3 20:41:10
With all of the media attention that is focused on the Internet and the World Wide Web, figuring out exactly what they are all about is som ...
其他 SVMcfg: Learns a weighted context free grammar from examples. Training examples (e.g. for natural la
SVMcfg: Learns a weighted context free grammar from examples. Training examples (e.g. for natural language parsing) specify the sentence along with the correct parse tree. The goal is to predict the parse tree of new sentences.
其他 SVMhmm: Learns a hidden Markov model from examples. Training examples (e.g. for part-of-speech taggi
SVMhmm: Learns a hidden Markov model from examples. Training examples (e.g. for part-of-speech tagging) specify the sequence of words along with the correct assignment of tags (i.e. states). The goal is to predict the tag sequences for new sentences.
其他书籍 We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude mo
We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation,
phase-shift keying, and pulse amplitude modulation
communications systems.We study the performance of a standard
CFO estimate, which consists of first raising the received signal to
the Mth ...