Philippine Computing Journal. (Record no. 26020)

MARC details
000 -LEADER
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
Holdings
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
    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