Matthew Gardner and Dr. Kevin Seppi, Computer Science Optimization problems are ubiquitous in our modern world. Businesses such as Google need to decide where to place ads, scientists need to t models to data, and airlines need to schedule their flights. All of these problems are optimization problems, and optimization techniques can be used to […]
A Probabilistic Pair-Hidden Markov Model for SNP Detection in Next Generation Sequencing Data
Nathan Clement and Dr. Quinn Snell, Computer Science Introduction In order to create and maintain a healthy human body, over three billion nucleotides (molecules of DNA, collectively called a genome) need to work together in harmony. Each cell in the human body needs its own copy of the genome, so during growth an individual’s DNA […]
Visualization of Higher-Dimensional Objective Functions: Avoiding Local Extrema and Non-concave Sections
Jason Cook and Dr. Robert Burton, Computer Science Economic models are built from economic theory for applications ranging from evaluating past policies to predicting future market behavior. Estimation of these models often requires the use of nonlinear optimization routines. As a result, the objective function being optimized is often characterized by local extrema, saddles, and […]
Dynamics of Self-Enforcing Cooperation in Competitive Environments
Nathan Woodbury and Dr. Sean Warnick, Department of Computer Science Introduction My original purpose in this project was to “explore the nature of self-enforcing policies that induce participation in coalitions within a competitive environment.” In order to do this, I proposed to use a model of a general market of many suppliers. This model was to be […]
An Algorithmic Approach for Real-‐time Music Improvisation
Denna Lawrence and Dr. Sean Warnick, Department of Computer Science Project Purpose I developed an algorithm that generated musical accompaniment to real-time improvisation from a soloist and analyzed my results using well-defined conditions of harmonization. Project Background Many electronic keyboards have a feature called “auto accompaniment”. When in that mode, the keyboard plays a chord when the performer […]
Probabilistic Inference and Ranking of Gene Regulatory Pathways as a Shortest-path Problem
James Jensen and Dr. Mark Clement, Department of Computer Science The project began in the Computational Science Lab in the Computer Science Department, where I was given the assignment of finding something useful to do with a collaborating biologist’s microarray data. Initially, the goal was to identify differentially expressed genes, and shifted to integrating differential […]
Dynamical Structure Function Identifiability Conditions Enabling Signal Structure Reconstruction
Julius Adebayo and Dr. Sean Warnick, Department of Computer Science Networks of controlled dynamical systems exhibit a variety of interconnection patterns that can be interpreted as the structure of a system. One such interpretation of system structure is a system’s signal structure, characterized as the open-loop causal dependencies among manifest variables and represented by its dynamical structure function […]
Finding Plagiarizing and Undesirable Web Documents by Utilizing Word Similarity in the Fuzzy Set Information Retrieval Model
Dr. Yiu-Kai Dennis Ng, Department of Computer Science Evaluation of the Academic Objects In the 2007 MEG proposal, I specified the following Internet problems to be solved using a Fuzzy set information retrieval (IR) model: (i) detecting plagiarism, which is the act of using another’s words or ideas as one’s own, (ii) filtering junk emails, […]
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