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ICANN
2001
Springer
14 years 1 months ago
Online Symbolic-Sequence Prediction with Discrete-Time Recurrent Neural Networks
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...
Juan Antonio Pérez-Ortiz, Jorge Calera-Rubi...
CSMR
2009
IEEE
14 years 1 months ago
Application of TreeNet in Predicting Object-Oriented Software Maintainability: A Comparative Study
There is an increasing interest in more accurate prediction of software maintainability in order to better manage and control software maintenance. Recently, TreeNet has been prop...
Mahmoud O. Elish, Karim O. Elish
CIB
2005
128views more  CIB 2005»
13 years 8 months ago
The Predicting Power of Textual Information on Financial Markets
Abstract-- Mining textual documents and time series concurrently, such as predicting the movements of stock prices based on the contents of the news stories, is an emerging topic i...
Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu
PAKDD
2004
ACM
131views Data Mining» more  PAKDD 2004»
14 years 2 months ago
Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models
This paper presents a new prediction model for predicting when an online customer leaves a current page and which next Web page the customer will visit. The model can forecast the ...
Qiming Huang, Qiang Yang, Joshua Zhexue Huang, Mic...
ICA
2007
Springer
14 years 3 months ago
Linear Prediction Based Blind Source Extraction Algorithms in Practical Applications
Blind source extraction (BSE) is of advantages over blind source separation (BSS) when obtaining some underlying source signals from high dimensional observed signals. Among a vari...
Zhi-Lin Zhang, Liqing Zhang