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Machine Learning - Naive Bayes Classifier - Temple University

https://cis.temple.edu/~latecki/Courses/AI-Fall10/Lectures/ch8Bayes.ppt

COMP20411 Machine Learning * Outline Background Probability Basics Probabilistic Classification Naïve Bayes Example: Play Tennis Relevant Issues Conclusions COMP20411 Machine Learning * Background There are three methods to establish a classifier a) Model a classification rule directly Examples: k-NN, decision trees, perceptron, SVM b) Model the probability of class memberships given input ...

PowerPoint Presentation

https://cis.temple.edu/~latecki/Courses/CIS166-Spring07/Lectures/ch7.5.ppt

Section 7.5 Equivalence Relations Longin Jan Latecki Temple University, Philadelphia latecki@temple.edu We can group properties of relations together to define new types of important relations. _________________ Definition: A relation R on a set A is an equivalence relation iff R is • reflexive • symmetric • transitive Two elements related by an equivalence relation are called equivalent ...

The OpenNARS implementation of the Non-Axiomatic Reasoning System

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 ...

TileSR: Accelerate On-Device Super-Resolution with Parallel Offloading ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/m37113-chen%20final.pdf

Abstract—Recent years have witnessed the unprecedented performance of convolutional networks in image super-resolution (SR). SR involves upscaling a single low-resolution image to meet application-specific image quality demands, making it vital for mobile devices. However, the excessive computational and memory requirements of SR tasks pose a challenge in mapping SR networks on a single ...

Shivayogi V. Hiremath - cph.temple.edu

https://cph.temple.edu/sites/cph/files/node/profile/resume/Shivayogi%20Hiremath%20CV%20July%202023.pdf

PI, Grant-In-Aid, Temple University, Location based physical activity levels in individuals with spinal cord injury. (2018: 0% Effort: Supported an undergraduate student researcher at the Personal Health Informatics and Rehabilitation Engineering Laboratory).

Stronger predation intensity and impact on prey communities in the tropics

https://sites.temple.edu/bjsewall/files/2021/08/Freestone-et-al-2021-Ecology-Stronger-predation-intensity-impact-on-prey-communities-in-the-tropics.pdf

evolutionary time across the globe (Menge and Lub-chenco 1981, Albouy et al. 2019, Silvestro et al. 2020). Although evidence continues to accrue in support of the prediction that predation intensity is stronger at lower latitudes (e.g., Schemske et al. 2009, Roslin et al. 2017, Reynolds et al. 2018), debate on its generality persists (Roesti et al. 2020). Further, variation in predation ...

MRRC: an effective cache for fast memory registration in RDMA

https://cis.temple.edu/~he/publications/Conferences/RDMA_MSST06.pdf

Abstract RDMA reduces network latency by eliminating unnec-essary copies from network interface card to application buffers, but how to reduce memory registration cost is a challenge. Previous studies use pin-down cache and batched deregistration to address this issue, but only sim-ple LRU is used as a replacement algorithm to manage the cache space. In this paper, we propose an effective ...

Social Media and Firm Equity Value

https://www.fox.temple.edu/sites/fox/files/social-media-isr.pdf

Companies have increasingly advocated social media technologies to transform businesses and improve orga- nizational performance. This study scrutinizes the predictive relationships between social media and firm equity value, the relative effects of social media metrics compared with conventional online behavioral metrics, and the dynamics of these relationships. The results derived from ...

EXPERT OR LAY OPINION – WHERE IS THE LINE?

https://law.temple.edu/aer/2019/06/19/expert-or-lay-opinion-where-is-the-line/

“The DNA profile from the crime scene shares the same alleles as the DNA from the accused.” That is a statement of fact or an expert opinion, but whatever it is it is not lay opinion. “I ride bicycles a lot. When the brake pads start to wear down, it’s riskier to ride in the rain.” Now, what is that? Expert or lay opinion? And why do we care? Because to proffer expert opinion ...

The Simple Act of Choosing Influences Declarative Memory

https://sites.temple.edu/adaptivememorylab/files/2018/07/Murty-VP-DuBrow-S-Davachi-L.-2015-The-simple-act-of-choosing-influences-declarative-memory.-Journal-of-Neuroscience-35-6255-6264-Selected-as-a-Feature-Article-.pdf

Individuals value the opportunity to make choices and exert control over their environment. This perceived sense of agency has been shown to have broad influences on cognition, including preference, decision-making, and valuation. However, it is unclear whether perceived control influences memory. Using a combined behavioral and functional magnetic resonance imaging approach, we investi ...