CS Senior Honors Thesis - CMU Computer Science Department.
Carnegie Mellon's Ph.D. in Computer Science is, above all, a research degree. We certify that our students have a broad foundation and awareness of core concepts in computer science, have advanced the field by performing significant original research and have reported that work in a scholarly fashion. See the Programs. Admissions Info. CSD Research Areas. Research in the Computer Science.
Undergraduate independent research in Computer Science is done as an Independent Study or as a Senior Thesis (which typically grows out of a prior Independent Study experience). To find out about the research interests of the CS faculty, look at the Faculty Research Guide.
This thesis studies injecting prior knowledge and constraints into neural models, primarily for natural language processing (NLP) tasks. While neural models have set a new state of the art performance in many tasks, they often fail to learn to consistently produce well-formed structures unless there is an immense amount of training data.
Thesis Committee: Eric P. Xing (Chair) Zico Kolter Ziv Bar-Joseph Manolis Kellis (Massachusetts Institute of Technology) Rich Caruana (Microsoft Research) Additional Proposal Information. Zoom Participation Enabled. See announcement. For More Information, Contact: Keywords: Thesis Proposal. Computer Science Department. Carnegie Mellon University. 5000 Forbes Avenue. Pittsburgh, PA 15213. Phone.
This thesis studies how to help people make decisions by using tools from artificial intelligence and computational social choice. On a high level, this thesis can be broken down into two major thrusts. The first is the analysis and refinement of two new paradigms of democratic decision-making, virtual democracy and liquid democracy.
Thesis Committee: James McCann (Chair) Jessica Hodgins Keenan Crane Adriana Schulz (UUniversity of Washington) Additional Proposal Information. Zoom Participation Enabled. See announcement. For More Information, Contact: Keywords: Thesis Proposal. Computer Science Department. Carnegie Mellon University. 5000 Forbes Avenue. Pittsburgh, PA 15213. Phone: 412-268-2565 Fax: 412-268-5576.
Course topics will include the following: an overview of important things to know about how research and innovation works in the field of computer science; a survey of the current cutting- edge of computer science research, both here at Carnegie Mellon and elsewhere; critical thinking skills when reading research publications that disagree with each other; strategies for coping with open-ended.
Thesis Committee: Manuela Veloso (Chair) Jaime Carbonell Stephanie Rosenthal Xiaoping Chen (University of Science and Technology of China) For More Information, Contact: Keywords: Thesis Oral. Computer Science Department. Carnegie Mellon University. 5000 Forbes Avenue. Pittsburgh, PA 15213. Phone: 412-268-2565 Fax: 412-268-5576. Pittsburgh Campus Qatar Campus Legal Info.
In this thesis, I present a new approach, which is inspired by the recent success of data-driven approaches in many fields of computing. I will demonstrate that data-driven techniques can improve Internet QoE by utilizing a centralized real-time view of performance across millions of endpoints (clients). I will focus on two fundamental challenges unique to this data-driven approach: the need.
The injective tensor norm problem has a multitude of manifestations across several branches of computer science, optimization and analysis. It has connections to maximum singular value, max-cut, Grothendieck's inequality, non-commutative Grothendieck inequality, quantum information theory, constraint satisfaction problems, tensor PCA, densest-k-subgraph, small set expansion, etc. and so a.
Thesis Committee: David G. Andersen (Chair) Michael Kaminsky Justine Sherry Sylvia Ratnasamy (University of California at Berkeley) For More Information, Contact: Keywords: Thesis Oral. Computer Science Department. Carnegie Mellon University. 5000 Forbes Avenue. Pittsburgh, PA 15213. Phone: 412-268-2565 Fax: 412-268-5576. Pittsburgh Campus Qatar Campus Legal Info.
Carnegie Mellon University, School of Computer Science, Institute for Software Research, Computation, Organizations and Society, Doctor of Philosophy., Ahuja, Manju. (1995). A Longitudinal Study of Network and Individual Performance in Distributed Design Groups. Carnegie Mellon University, Katz Graduate School of Business., Doctor of Philosophy, Strachan, Neil D. (2000). Adoption and Supply of.
Carnegie Mellon University has led the world in artificial intelligence education and innovation since the field was created. It's only natural, then, that the School of Computer Science would offer the nation's first bachelor's degree in Artificial Intelligence, which started in Fall 2018. The new BSAI program gives students the in-depth knowledge needed to transform large amounts of data.
Carnegie Mellon University. This dissertation is an historical and evaluative study of the semiconductor industry as it approaches the end of the silicon integrated-circuit paradigm. For nearly 60 years, semiconductor technology has been defined by rapid rates of progress and concomitant decreases in costs-perfunction made possible by the extendibility of the silicon integrated-circuit. The.
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Machine Learning Department at Carnegie Mellon University. Machine learning (ML) is a fascinating field of AI research and practice, where computer agents improve through experience. Machine learning is about agents improving from data, knowledge, experience and interaction.