Grammar Time 1 Student Book Pack New Edition
Title | Grammar Time 1 Student Book Pack New Edition PDF eBook |
Author | Sandy Jervis |
Publisher | Pearson Longman |
Pages | 112 |
Release | 2008 |
Genre | Juvenile Nonfiction |
ISBN | 9781405866972 |
The teacher's book expands into a resource file and includes photocopiable activities that help the teacher to deliver lively and varied lessons. Easy-to-teach units are presented in a consistent format, and regular reviews and tests monitor student's progress.
New Grammar Time
Title | New Grammar Time PDF eBook |
Author | Sandy Jervis |
Publisher | |
Pages | 144 |
Release | 2008 |
Genre | English language |
ISBN | 9781405852722 |
Grammar Time 2 Student Book Pack New Edition
Title | Grammar Time 2 Student Book Pack New Edition PDF eBook |
Author | Sandy Jervis |
Publisher | Grammar Time |
Pages | 112 |
Release | 2008 |
Genre | Juvenile Nonfiction |
ISBN | 9781405866989 |
Grammar Time puts the sparkle into teaching grammar through cute cartoons and characters in the book and in the grammar-packed CD. Grammar Time prepares students for the Cambridge Young Learner's Test, KET and PET.
Grammar-Based Feature Generation for Time-Series Prediction
Title | Grammar-Based Feature Generation for Time-Series Prediction PDF eBook |
Author | Anthony Mihirana De Silva |
Publisher | Springer |
Pages | 105 |
Release | 2015-02-14 |
Genre | Technology & Engineering |
ISBN | 9812874119 |
This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series continues to attract considerable attention due to the difficulty of the prediction problems compounded by the non-linear and non-stationary nature of the real world time-series. The performance of machine learning techniques, among other things, depends on suitable engineering of features. This book proposes a systematic way for generating suitable features using context-free grammar. A number of feature selection criteria are investigated and a hybrid feature generation and selection algorithm using grammatical evolution is proposed. The book contains graphical illustrations to explain the feature generation process. The proposed approaches are demonstrated by predicting the closing price of major stock market indices, peak electricity load and net hourly foreign exchange client trade volume. The proposed method can be applied to a wide range of machine learning architectures and applications to represent complex feature dependencies explicitly when machine learning cannot achieve this by itself. Industrial applications can use the proposed technique to improve their predictions.
Grammar Time
Title | Grammar Time PDF eBook |
Author | Sandy Jervis |
Publisher | LONGMAN |
Pages | 80 |
Release | 2001-01 |
Genre | English language |
ISBN | 9780582469600 |
The Grammar Time series provides reference and practice books for 8-15 year olds that use humorous cartoons, drawings and photographs to introduce and practice the English language.
Grammar Time
Title | Grammar Time PDF eBook |
Author | Sandy Jervis |
Publisher | LONGMAN |
Pages | 96 |
Release | 2001-01 |
Genre | English language |
ISBN | 9780582469624 |
Grammar time reflects the likes and interests of young learners and puts grammar in imaginative and humorous contexts that make learning fun. Grammar Time gives learners all the support they need with detailed reference tables and grammar notes Special 'Tip' boxes appear next to the tasks to give useful advice on common difficulties. Easy-to-follow grammar practice in carefully graded learning steps. Controlled practice followed by the unique 'Teenlink' magazine, with freer contextualised tasks. Additional writing and oral practice at the end of each unit. Regular revision units and a comprehensive wordlist at the back. Handy Teacher's Book with extra resources and photocopiable quizzes.
Grammar Time 4
Title | Grammar Time 4 PDF eBook |
Author | Maria Carling |
Publisher | LONGMAN |
Pages | 144 |
Release | 2002 |
Genre | English language |
ISBN | 9780582469662 |
The Grammar Time series provides reference and practice books for 8-15 year olds that use humorous cartoons, drawings and photographs to introduce and practice the English language.