𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Optimal routing strategy based on the minimum information path

✍ Scribed by Kai Wang; Yifeng Zhang; Siyuan Zhou; Wenjiang Pei; Shaoping Wang; Tao Li

Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
397 KB
Volume
390
Category
Article
ISSN
0378-4371

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

On-the-path random walk sampling for eff
On-the-path random walk sampling for efficient optimization of minimum free-energy path
✍ Mengen Chen; Wei Yang πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 236 KB

## Abstract A sampling method is proposed for the efficient acquisition of minimum free‐energy path (MFEP). Here, the MFEP optimization is realized based on the sampling via single on‐the‐path random walk simulation. The present strategy naturally ensures the on‐the‐path structural continuity so th

Optimal strategy of route and look for t
Optimal strategy of route and look for the path constrained search problem with reward criterion
✍ Ryusuke Hohzaki; Koji Iida πŸ“‚ Article πŸ“… 1997 πŸ› Elsevier Science 🌐 English βš– 741 KB

A target is moving among a finite number of cells K= {1 ..... K} in discrete time T= {1 ..... T}. Knowing the probability of the target's path selection, a searcher is searching for the target with constraints that he can move from cell i to one of the adjacent cells l(i). The searcher detects the t

Modeling task-based information seeking
Modeling task-based information seeking on the web: Application of information seeking strategy schema
✍ Jeonghyun Kim πŸ“‚ Article πŸ“… 2008 πŸ› Wiley (John Wiley & Sons) 🌐 English βš– 202 KB πŸ‘ 1 views

## Abstract The purpose of this study was to understand how task influences information seeking behavior in the digital information environment of the World Wide Web. To present a conceptual model of task‐based information seeking on the Web, an information seeking strategy schema was developed. Th

A preprocess algorithm of filtering irre
A preprocess algorithm of filtering irrelevant information based on the minimum class difference
✍ Zhiping Chen; Kevin LΓΌ πŸ“‚ Article πŸ“… 2006 πŸ› Elsevier Science 🌐 English βš– 298 KB

Whether a word (or a feature) should be included or excluded during the process of text classification could depend on a number of factors, such as the amount of information it represents, its appearance frequency and its meaning. The application context is another important factor that needs to be