https://liberalarts.temple.edu/sites/liberalarts/files/Mennis%20%26%20Grunwald%20%282013%29%20Neighborhood%20collective%20efficacy%20and%20dimensions%20of%20diversity_0.pdf
Abstract. Collective efficacy is becoming an increasingly important concept within the social and health sciences as researchers question how the social environment of a neighborhood influences a host of individual psychological, behavioral, and health outcomes. We investigate whether ethnic as well as other dimensions of neighborhood-level diversity are associated with collective efficacy ...
https://cis.temple.edu/~latecki/Courses/CIS2033-Spring12/ElementaryProbabilityforApplications/ch2.pdf
The last equality is easy to prove: The number of ways of picking m objects out of n to take is the same as the number of ways of choosing n − m to leave behind.
https://cis.temple.edu/~pwang/Publication/OpenNARS.pdf
NARS utilises the Non-Axiomatic Logic (NAL) [9] for inference and the Nars-ese language for representing statements. The language and the logic are outside the scope of this document. The aim of this paper is to describe the current implementation of NARS in detail. The following aspects of the implementa-tion are focused on: memory management with concept centric processing, non-deterministic ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/AVOA_Fuzzy.pdf
Abstract—The Internet of Things (IoT) has rapidly grown in the past decade as an emerging technology. Due to the heterogeneity and energy limitations of IoT devices, adopting eficient management practices for developing IoT applications and managing IoT networks is a challenging task. One of the most critical IoT challenges that needs to be considered is routing due to its significant impact ...
https://cis.temple.edu/~latecki/Papers/SDM09_Final.pdf
Outlier detection techniques can be categorized into several groups: (1) statistical or distribution-based ap-proaches; (2) geometric-based approaches; (3) pro ̄ling methods; and (4) model-based approaches. In statisti-cal techniques [2, 3], the data points are typically mod-eled using a data distribution, and points are labeled as outliers depending on their relationship with the dis ...
https://cis.temple.edu/~latecki/Courses/Math3033-Fall09/DekkingBook07/A_modern_intro_probability_statistics_Dekking05.pdf
A modern introduction to probability and statistics. — (Springer texts in statistics) 1. Probabilities 2. Mathematical statistics I. Dekking, F. M.
https://cis.temple.edu/~pwang/Publication/AI_Misconceptions.pdf
In the discussions on the limitation of Artificial Intelligence (AI), there are three major misconceptions, which identify an AI system with an ax-iomatic system, a Turing machine, and a system with a model-theoretic se-mantics, respectively. Though these three notions can be used to describe a computer system for certain purposes, they are not always the proper theoretical notions when an AI ...
https://cis.temple.edu/~latecki/Papers/cvpr00.pdf
Abstract The Core Experiment CE-Shape-1 for shape descriptors performed for the MPEG-7 standard gave a unique oppor-tunity to compare various shape descriptors for non-rigid shapes with a single closed contour. There are two main dif-ferences with respect to other comparison results reported in the literature: (1) For each shape descriptor, the exper-iments were carried out by an institute ...
https://cis.temple.edu/~wu/research/publications/Publication_files/RACORAM0704-2.pdf
Abstract—This paper proposes a novel Reverse Auction-based Computation Offloading and Resource Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing. The basic idea is that the Cloud Service Center (CSC) recruits edge server owners to replace it to accommodate offloaded computation from nearby resource-constraint Mobile Devices (MDs). In RACORAM, the reverse auction is used ...