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Is a summer at sleep-away camp the answer? An analysis of the potential benefits of summer camp for students with classroom-based disabilities
(Yeshiva University, 2023-01)
Throughout my studies in psychology, I found the topics that discussed students with
difficulties in the classroom the most interesting. Whether in the case of a reading impairment, a
lack of self-control, or an inability ...
ISPIP: Improved prediction of epitope binding sites
(Yeshiva University, 2023-02)
ISPIP is a meta-method designed to improve on previous classifiers by choosing
components that use different strategies and using machine learning algorithms to train the
model. It is based on Walder’s Meta-DPI, but ...
Mathematical stochastic models for DNA
(Yeshiva University, 2023-05)
Kimura’s neutral theory of molecular evolution gave rise to several models by which
to study genetic data. Such models include the infinite alleles model and the infinite
sites model. We studied these models, and present ...
From Naive Bayes to transformers: Evolution of natural language processing models for improved text understanding
(Yeshiva University, 2023-05)
When ChatGPT was released to the public in late 2022, people quickly came to realize that many
things were about to change. While teachers started to get headaches trying to figure out whether their
students’ essays were ...
Transfer learning in classifying handwritten Hebrew-script letters
(Yeshiva University, 2023-05)
Classification is a fundamental task used in machine learning where the goal is to
predict the category or class of given data points based on certain features. It is widely used
across various fields especially in image ...
A starry night: Shekiah, bein ha-shmashot, and tzeit ha-kochavim
(Yeshiva University, 2023-05)
Since time immemorial, there has been a dispute amongst the Rabbis as to the length of
time between Shekiah and Tzeit Ha-kochavim. Starting from the Talmud, there is a contradiction as to the length of time in mil between ...
Logistic regression and text classification as part of the Yeshiva University Computer Science Capstone Project
(Yeshiva University, 2023-05)
Text classification is a machine-learning task of assigning labels to a given text. The texts
can be categorized based on topics or the sentence’s sentiment like this is a positive or negative
sentence. In my capstone ...
Collaborative filtering machine learning models
(Yeshiva University, 2023-05)
This paper provides an overview of collaborative filtering machine learning models, tracing their history, explaining their fundamentals, and discussing their strengths and limitations. Collaborative filtering is a popular ...
CNN as an approach to handwritten Hebrew letter classification
(Yeshiva University, 2023-05)
One of the most notable milestones in the world of Machine Learning was when models became capable of recognizing handwritten text. The ability to write a number, or an English letter, and have it be accurately recognized ...
Overview of vector similarity for machine learning
(Yeshiva University, 2023-05)
In the realm of information retrieval, data mining, and machine learning, measuring the similarity between objects is a fundamental task. One powerful approach to quantifying similarity is through the use of vectors. Over ...