Machine learning for web page ranking and collaborative filtering

TE Kno (knowledge based term extraction), proposed in (Ji and Lu, 2007) for Chinese, calculates the percentage of context words in a domain lexicon using both frequency

Therefore, in this study, focusing on Japanese and English as the source and target languages, respec- tively, we address these questions by proposing sim- plified Japanese for

These analysis methods are applied to pre- dicting cutting error caused by thermal expansion and compression in machine tools.. The input variables are reduced from 32 points to

Segmentation along the time axis for fast response, nonlinear normalization for emphasizing important information with small magnitude, averaging samples of the brain waves

Wu, “A generalisation model of learning and deteriorating effects on a single-machine scheduling with past-sequence-dependent setup times,” International Journal of Computer

The objectives of this paper are organized primarily as follows: (1) a literature review of the relevant learning curves is discussed because they have been used extensively in the

東京都は他の道府県とは値が離れているように見える。相関係数はこう

Chu, “H ∞ filtering for singular systems with time-varying delay,” International Journal of Robust and Nonlinear Control, vol. Gan, “H ∞ filtering for continuous-time