✦ LIBER ✦

Evolutionary learning and hierarchical Markov systems

✍ Scribed by Harold M. Hastings; Stefan Waner; Yihren Wu

Publisher: Elsevier Science
Year: 1989
Tongue: English
Weight: 640 KB
Volume: 23
Category: Article
ISSN: 0303-2647
DOI: 10.1016/0303-2647(89)90020-8

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Automata with hierarchical control and e

Automata with hierarchical control and evolutionary learning

✍ Stefan Waner; Yihren Wu 📂 Article 📅 1988 🏛 Elsevier Science 🌐 English ⚖ 753 KB

Evolutionary reinforcement learning syst

Evolutionary reinforcement learning system with time-varying parameters

✍ Kosuke Umesako; Masanao Obayashi; Kunikazu Kobayashi 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 839 KB

Evolutionary learning of small networks

✍ Thomas Filk; Albrecht von Müller 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 490 KB

Learning discrete hidden Markov models

✍ Luís Geraldo P. Meloni 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 151 KB

Splicing of Markov and weak Markov syste

Splicing of Markov and weak Markov systems

✍ Theodore Kilgore; R.A Zalik 📂 Article 📅 1989 🏛 Elsevier Science 🌐 English ⚖ 568 KB

Some learning techniques in hierarchical

Some learning techniques in hierarchical censored production rules (HCPRs) system

✍ N. K. Jain; K. K. Bharadwaj 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 245 KB

This paper discusses learning techniques based upon the hierarchical censored produc-Ž . tion rules HCPRs system of knowledge representation. These HCPRs are written in the form: '' A IF B UNLESS C GENERALITY G SPECIFICITY S,'' where symbol A represents the conclusion, B is the set of preconditions,