Home Science • Mohammad Taheri, Elham Chitsaz, Seraj D. Katebi, Mansoor Z.'s Advances in Computer Science and Engineering: 13th PDF

Mohammad Taheri, Elham Chitsaz, Seraj D. Katebi, Mansoor Z.'s Advances in Computer Science and Engineering: 13th PDF

By Mohammad Taheri, Elham Chitsaz, Seraj D. Katebi, Mansoor Z. Jahromi (auth.), Hamid Sarbazi-Azad, Behrooz Parhami, Seyed-Ghassem Miremadi, Shaahin Hessabi (eds.)

ISBN-10: 3540899847

ISBN-13: 9783540899846

ISBN-10: 3540899855

ISBN-13: 9783540899853

This e-book constitutes the revised chosen papers of the thirteenth overseas CSI laptop convention, CSICC 2008 hung on Kish Island, Iran, in March 2008. The eighty four standard papers offered including sixty eight poster displays have been conscientiously reviewed and chosen from a complete of 426 submissions.

The papers are prepared in topical sections on learning/soft computing, set of rules conception, SoC and NoC, wireless/sensor networks, video processing and comparable issues, processor structure, AI/robotics/control, scientific snapshot processing, p2p/cluster/grid structures, cellular advert hoc networks, net, sign processing/speech processing, misc, safety, snapshot processing functions in addition to VLSI.

Show description

Read or Download Advances in Computer Science and Engineering: 13th International CSI Computer Conference, CSICC 2008 Kish Island, Iran, March 9-11, 2008 Revised Selected Papers PDF

Best science books

Download PDF by Paul C. W. Davies: The Origin of Life

The origins of lifestyles is still one of many nice unsolved mysteries of technological know-how. turning out to be proof means that the 1st organisms lived deep underground, in environments formerly regarded as uninhabitable, and that microbes carried inside of rocks have travelled among Earth and Mars.

But the query is still: how can existence spring into being from non-living chemical substances? The starting place of existence finds the notable new theories and discoveries that appear set to rework our figuring out of life's function within the unfolding drama of the cosmos.

Computational Science and Its Applications – ICCSA 2012: - download pdf or read online

The four-volume set LNCS 7333-7336 constitutes the refereed complaints of the twelfth foreign convention on Computational technological know-how and Its functions, ICCSA 2012, held in Salvador de Bahia, Brazil, in June 2012. The 4 volumes include papers awarded within the following workshops: 7333 - advances in excessive functionality algorithms and functions (AHPAA); bioinspired computing and purposes (BIOCA); computational geometry and applicatons (CGA); chemistry and fabrics sciences and applied sciences (CMST); towns, applied sciences and making plans (CTP); 7334 - econometrics and multidimensional overview within the city atmosphere (EMEUE); geographical research, city modeling, spatial facts (Geo-An-Mod); 7335 - optimization recommendations and purposes (OTA); cellular communications (MC); mobile-computing, sensind and actuation for cyber actual platforms (MSA4CPS); distant sensing (RS); 7336 - software program engineering strategies and purposes (SEPA); software program caliber (SQ); safeguard and privateness in computational sciences (SPCS); tender computing and knowledge engineering (SCDE).

Additional info for Advances in Computer Science and Engineering: 13th International CSI Computer Conference, CSICC 2008 Kish Island, Iran, March 9-11, 2008 Revised Selected Papers

Example text

The structure of a Bayesian network encodes variable independencies. Since H. Sarbazi-Azad et al. ): CSICC 2008, CCIS 6, pp. 25–32, 2008. R. M. B. Menhaj the number of possible structures is extremely huge, structure learning often has high computational complexity. Finding the optimal structure of a BN from data has been shown to be NP-hard [3]. Thus, heuristic and approximate learning algorithms are the realistic solution. Therefore, greedy score-based algorithms [3] have been developed to provide more efficient structure learning at an accuracy tradeoff.

It sorts the ants offspring of AS and then the trails are updated by only the first ω 1 ants according to (4). , Where Δτ , and Δτ , . , ∑ . , . , (4) . Stüzle and Hoos introduced MAX-MIN Ant System (MMAS) [8]. In MMAS trails τ , so it help ants not to converge to local optiare limited to an interval τ mum. Further, in MMAS, only the best ant (iteration-best or global-best) is allowed to deposit pheromone. Sometimes, for more exploration an additional mechanism called Pheromone Trail Smoothing is applied to MMAS.

Automatic acquisition of hyponyms from large text corpora. In: 4th International Conference on Computational Linguistics, pp. 539–545 (1992) 6. : Finding parts in very large corpora. In: 37th Annual Meeting of the ACL, pp. 57–64 (1999) 7. : Text mining for causal relations. In: Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, pp. R. M. B. ir Abstract. This paper describes the theory and implementation of Bayesian networks in the context of data classification.

Download PDF sample

Advances in Computer Science and Engineering: 13th International CSI Computer Conference, CSICC 2008 Kish Island, Iran, March 9-11, 2008 Revised Selected Papers by Mohammad Taheri, Elham Chitsaz, Seraj D. Katebi, Mansoor Z. Jahromi (auth.), Hamid Sarbazi-Azad, Behrooz Parhami, Seyed-Ghassem Miremadi, Shaahin Hessabi (eds.)


by Richard
4.3

Rated 4.38 of 5 – based on 14 votes

Author:admin