'Nil nil' diaporamas de présentation

Artificial Intelligence IES 503

654 views • 57 slides

A Second Look At ML

A Second Look At ML. Outline. Patterns Local variable definitions A sorting example. Two Patterns You Already Know. We have seen that ML functions take a single parameter: fun f n = n*n; We have also seen how to specify functions with more than one input by using tuples: fun f (a, b) = a*b;

552 views • 46 slides

A Second Look At ML

A Second Look At ML. Outline. Patterns Local variable definitions A sorting example. Two Patterns You Already Know. We have seen that ML functions take a single parameter: fun f n = n*n; We have also seen how to specify functions with more than one input by using tuples: fun f (a, b) = a*b;

546 views • 41 slides

A Second Look At ML

A Second Look At ML. Spring 2012. Outline. Patterns Local variable definitions A sorting example. Two Patterns You Already Know. We have seen that ML functions take a single parameter: fun f n = n*n;

480 views • 38 slides

Functional Programming

Functional Programming. 04 Control. Control-Blocks. Common Lisp has 3 basic operators for creating blocks of code progn block tagbody If ordinary function calls are the leaves of a Lisp program, these operators are used to build the branches. Control-Blocks.

405 views • 32 slides

Course literature list on course website

Artificial Intelligence and Lisp Lecture 11 Programming in Lisp, II LiU Course TDDC65 Autumn Semester, 2010 http://www.ida.liu.se/ext/TDDC65/. Course literature list on course website. The full list of course literature is now on the webpage Page counts:

377 views • 31 slides

Finish "Programming in Lisp, II"

Artificial Intelligence and Lisp Lecture 12 Finish "Programming in Lisp, II" + Lab 5 a-b + Review and Synthesis of the Course LiU Course TDDC65 Autumn Semester, 2010 http://www.ida.liu.se/ext/TDDC65/. Finish "Programming in Lisp, II". Tentative Top Level. (defun lispos (scr vbl val)

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ENTITYPRO EXPLOTING SVM FOR ITALIAN NAMED ENTITY RECOGNITION

ENTITYPRO EXPLOTING SVM FOR ITALIAN NAMED ENTITY RECOGNITION. EVALITA 2007 Frascati, September 10th 2007. Roberto Zanoli and Emanuele Pianta. TextPro. A suite of modular NLP tools developed at FBK-irst TokenPro: tokenization MorphoPro: morphological analysis

373 views • 24 slides

Functional Programming Lecture 8 - Binary Search Trees

Functional Programming Lecture 8 - Binary Search Trees. Binary Search Trees. A bst is a tree whose elements are ordered. A general tree is defined by: data Tree a = Nil | Node a (Tree a) (Tree a)

271 views • 18 slides

Functional Programming Lecture 8 - Binary Search Trees

Functional Programming Lecture 8 - Binary Search Trees. Binary Search Trees. A bst is a tree whose elements are ordered. A general tree is defined by: data Tree a = Nil | Node a (Tree a) (Tree a)

186 views • 18 slides

Standard ML

Standard ML. Sequences. Sequences, Lazy Lists. Characteristics of lazy lists Elements are not evaluated until their values are required May be infinite Expressing lazy lists in ML datatype 'a seq = Nil | Cons of 'a * ( unit -> 'a seq); fun head(Cons(x,_)) = x;

241 views • 11 slides