๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

On the Value of Partial Information for Learning from Examples

โœ Scribed by Joel Ratsaby; Vitaly Maiorov

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
340 KB
Volume
13
Category
Article
ISSN
0885-064X

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

General Bounds on the Number of Examples
General Bounds on the Number of Examples Needed for Learning Probabilistic Concepts
โœ Hans Ulrich Simon ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 631 KB

Given a p-concept class C, we define two important functions d C (#), d$ C (#) (related to the notion of #-shattering). We prove a lower bound of 0((d C (#)&1)ร‚(=# 2 )) on the number of examples required for learning C with an (=, #)-good model of probability. We prove similar lower bounds for some

Unlocking the value of Web 2.0 technolog
Unlocking the value of Web 2.0 technologies for training and development: The shift from instructor-controlled, adaptive learning to learner-driven, generative learning
โœ Manuel London; MJ Hall ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 154 KB

## Abstract Traditional instruction is adaptiveโ€”that is, instructorโ€driven, faceโ€toโ€face and/or online training to teach skills and knowledge and convey information, policies, and procedures. In contrast, generative learning is learnerโ€driven, collaborative, and problemโ€focused. Web 2.0 technologie