Abstract. It is argued that the ability to generalise is the most important characteristic of learning and that generalisation may be achieved only if pattern recognition systems l...
The book covers the following topics: Values, Types, Functions, Case Expressions and Pattern Matching, Type Classes and Overloading, Input/Output, Standard Haskell Classes
Monads,...
A new trend in the field of pattern matching is to design indexing data structures which take space very close to that required by the indexed text (in entropy-compressed form) an...
Wing-Kai Hon, Rahul Shah, Sharma V. Thankachan, Je...
Key idea of this work is to appropriately extend one prominent generic agent architecture, namely InteRRap [8], to the case of a quantum pattern matching (QPM) based type-I quantu...
We define an operational semantics and a type system for manipulating semistructured data that contains hidden information. The data model is simple labeled trees with a hiding op...