1.

Record Nr.

UNINA990001015720403321

Autore

Kendall, Maurice <1907-1983>

Titolo

Geometrical Probability / M.G. Kendall and P.A.P. Moran

Pubbl/distr/stampa

London : Charles Griffin, 1963

Disciplina

519

Locazione

FI1

Collocazione

18-072

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910483992703321

Titolo

MICAI 2007: Advances in Artificial Intelligence : 6th Mexican International Conference on Artificial Intelligence, Aguascalientes, Mexico, November 4-10, 2007, Proceedings / / edited by Alexander Gelbukh, Àngel Fernando Kuri Morales

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007

ISBN

3-540-76631-6

Edizione

[1st ed. 2007.]

Descrizione fisica

1 online resource (XXXVII, 1236 p.)

Collana

Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 4827

Disciplina

006.3

Soggetti

Artificial intelligence

Computer science

Machine theory

Computer vision

Artificial Intelligence

Theory of Computation

Formal Languages and Automata Theory

Computer Vision

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Computational Intelligence -- Neural Networks -- Knowledge Representation and Reasoning -- Agents and Multiagent Systems -- Machine Learning and Data Mining -- Image Processing, Computer Vision, and Robotics -- Natural Language Processing -- Speech Processing and Human-Computer Interfaces -- Planning and Scheduling -- Bioinformatics and Medical Applications -- Industrial Applications -- Intelligent Tutoring Systems.

Sommario/riassunto

Artificial Intelligence is a branch of computer science that studies heuristic methods of solving complex problems. Historically the first such tasks modeled human intellectual activity: reasoning, learning, seeing and speaking. Later similar methods were extended to super-complex optimization problems that appear in science, social life and industry. Many methods of Artificial Intelligence are borrowed from nature, where there occur similar super-complex problems such as those related to survival, development, and behavior of living organisms. The Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized by the Mexican Society for Artificial Intelligence (SMIA), is a major international AI forum and the main event in the academic life of the country’s growing AI community. The proceedings of the previous MICAI events were published by Springer in its Lecture Notes in Artificial Intelligence (LNAI) series, vol. 1793, 2313, 2972, 3789, and 4293. Since its foundation in 2000, the conference has shown a stable growth in popularity (see Figures 1 and 3) and improvement in quality (see Fig. 2). The 25% acceptance rate milestone was passed for the first time this year.