Philippine Computing Journal. (Record no. 26020)
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fixed length control field | 02676nam a2200193Ia 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | NULRC |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20250730145912.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 250730s9999 xx 000 0 und d |
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER | |
International Standard Serial Number | 1908-1995 |
245 #0 - TITLE STATEMENT | |
Title | Philippine Computing Journal. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Philippines : |
Name of publisher, distributor, etc. | Computing Society of the Philippines, |
Date of publication, distribution, etc. | 2017 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 29 pages : |
Other physical details | illustrations ; |
Dimensions | 28 cm. |
490 ## - SERIES STATEMENT | |
Volume/sequential designation | Philippine Computing Journal, Vol. 12, No.2, August 2017 |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc. note | Includes index and bibliographical references. |
505 ## - FORMATTED CONTENTS NOTE | |
Formatted contents note | Discovering Policies using Activity Models of Self Regulated Learners -- Optimal Allocation of Investment to Maximize an Insurer's Prospect Value Under Risk with Exponential Claims -- Split Bregman Iterations on Regularized L1 Total Variation Models. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | [Article Title: Discovering Policies using Activity Models of SelfRegulated Learners / Jordan Aiko Deja and Rafael Cabredo, p.1-10] Abstract: Self-Initiated Learning Scenarios are environments that enable students to learn on their own without the supervision of a teacher .Self-regulated learners are students who can greatly benefit from these environments. ;[Article Title: Optimal Allocation of Investment to Maximize an Insurer's Prospect Value Under Risk with Exponential Claims / Adrian R. Llamado and Jonathan B. Mamplata, p.11-19] Abstract: This study calculates the optimal allocation of theinsurer's portfolio that maximizes the prospect theoryvalue of its gain or loss. The gain or loss is relativeto the insurer's current surplus. The surplus process follows a model formulated by Liu and Yang. Theprospect theory minimizing strategies derived in this study are compared to the ruin probability minimizingstrategy of Liu and Yang. Effects of prospect theory parameters on the investment strategy are analyzed.A simulation of the surplus process showed that using smooth normalized prospect theory (SNPT) without probability weighting is the best strategy when initialsurplus is zero, while using complete SNPT (i.e. probability weighting is included) yields the best results when the initial surplus is large. The strategies are comparedusing finite time ruin probabilities. ;[Article Title: Split Bregman Iterations on Regularized L1 Total Variation Models / Marrick C. Neri, p.20-29] Abstract: In this paper, regularized discrete versions of theL1to-tal variation based image denoising model are solved using split Bregman iterations. The methods use inexact solutions which are effective in restoring images corrupted with impulse noise. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | INFORMATION TECHNOLOGY |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Library of Congress Classification |
Koha item type | Serials |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
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Library of Congress Classification | Gen. Ed. - CCIT | LRC - Main | National University - Manila | Periodicals | 08/19/3 | Donation | Philippine Computing Journal, Vol. 12, No.2, August 2017 c.2 | PER000000948 | 07/30/2025 | c.2 | 07/30/2025 | Serials |