Integer Linear Programming (ILP) has a broad range of applications in various areas artificial intelligence. Yet spite recent advances, we still lack thorough understanding which structural restrictions make ILP tractable. Here study instances consisting small number “global” variables and/or constraints such that the remaining part instance consists and otherwise independent components; this i...

The objectives of the study were: (i) to study the learning strategies of Secondary school students, (ii) to study differences in the learning strategies of secondary school studentsof different streams of study (iii) to study the relationship between learning strategies and academic achievement of secondary school students. 1167 secondary school students of Punjab were administered Motivationa...

Silvia and colleagues (Silvia, Kaufman, & Pretz, 2009) highlighted the advantages of latent class analysis when studying creative achievement. The current study replicates and expands Silvia and colleagues’ (2009) findings on creative achievement in a sample of 656 students, of which 223 were also assessed on creative ability and ideation, as well as a broad range of personality traits. A laten...

The intention of this study was to estimate the pharmacological advantage of a clinically applicable method of isolated liver perfusion (ILP) over hepatic artery infusion (HAI) administering various doses of 5-fluorouracil (FUra). FUra concentrations were measured using high-performance liquid chromatography in liver tissue (pigs and rats), hepatic tumor tissue (rats), and in the systemic circu...

Inductive Logic Programming (ILP) is the area of AI which deals with the induction of hypothesised predicate deenitions from examples and background knowledge. Logic programs are used as a single representation for examples, background knowledge and hypotheses. ILP is diierentiated from most other forms of Machine Learning (ML) both by its use of an expressive representation language and its ab...

We have proposed an extension to the deenition of general integer linear programs (ILP) to accept dis-equality constraints explicitly. A new class of logical variables is introduced to transform the extended ILP in general form to standard form. Branch and Bound algorithm is modiied to solve this new class of ILP.

This book is a collective endeavor of exploring the role of technology in interlanguage pragmatics (ILP) research, instruction, and assessment. It starts with an introduction (Chapter 1) and ends with a commentary and a prologue, both of which envision future directions of using technology in the field of ILP. The included studies are divided into two parts: Part I (Chapters 2 to 6) which addre...