1 - 25 of 5
Number of results to display per page
1 Bracken, KallieDefining learning: mystifying machine learning as a powerful tool in a data-driven worldUntil recently, the driving paradigm in software engineering has been to design applications for a predefined set of tasks. This approach, however, is quickly being dwarfed by data-driven applications which are designed to use knowledge and understanding to decide how they can best fulfill use...Machine learning - Case studies; Machine learning - Study and Teaching; Machine Learning - Technique2016-04
2 Goller, NicholasIterative game development: What goes into making an effective game and the lessons learned from making two gamesImagine you are told you have two semesters to make a game. You have a team of over ten people ready to help out. You even have the basic idea of what the game will be about. How hard can it be? Well, it is not that hard to make "a game" in two semesters. A competent coder can hack together a game...Computer games - Design2016-04
3 Yehle, TobinMemoized parsing with derivativesDue to the computational complexity of parsing, constituent parsing is not preferred for tasks involving large corpora. However, the high similarity between sentences in natural language suggests that it is not necessary to pay the full computational price for each new sentence. In this work we p...Parsing (Computer grammar)2016-04
4 Delacenserie, JessicaUtilizing classroom technology to strengthen elementary educationThere is a disconnect in the current education system where there is an abundance of technology accessible to students but it is not being used in a way that enhances their education. The majority of software currently used in primary schools simply transfers books, homework assignments, etc. to mob...Education, Elementary; Computer-assisted instruction; Education - Effect of technological innovations on2016-05
5 Herbert-Voss, ArielGenerating audio mixtures using deep convolutional neural networksDeep neural networks have recently been used in a generative capacity to separate and convolve the content and style of two input images. This is done using a joint cost function during gradient descent that encodes information about style and content to iteratively calculate forward node activation...Computer sound processing; Computer music; Machine learning; Neural networks; Audio mixtures; Spectrograms; Split integer scaling2016-05
1 - 25 of 5