Browsing by Subject "machine learning"
Now showing items 21-31 of 31
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Predicting Political Donations Using Data Driven Lifestyle Profiles Generated from Character N-Gram Analysis of Heterogeneous Online Sources
(2015)This paper describes an approach for generating multi-dimensional Activities, Interests, and Opinions (AIO) insights from disparate web sources. The method involves identifying psychographic profiles using text analysis ... -
PREDICTING THE OUTCOME OF KIDNEY TRANSPLANTS USING MACHINE LEARNING METHODS
(2020-04-20)The prediction of the survival of kidney grafts is based on the procedure of matching kidney donors and recipients. Machine learning can be effectively used to analyze the appropriate donor-recipient attributes from a ... -
Providing Real-Valued Actions for Tangled Program Graphs Under the CartPole Benchmark
(2020-08-20)The Tangled Program Graph framework (TPG) is a genetic programming approach to reinforcement learning. Canonical TPG is limited to performing discrete actions. This thesis investigates mechanisms by which TPG might perform ... -
Spatiotemporal Pattern Detection in Multi-cell Recordings Using Unsupervised Learning
(2015)Detection of spatiotemporal patterns have many applications in areas such as computer vision and data mining. Specifically, the analysis and mining of biological data with high dimensionality (e.g. multi-cell recordings, ... -
SUPERVISED MACHINE/DEEP LEARNING TECHNIQUES – A CASE STUDY OF POWDERY MILDEW DETECTION ON THE STRAWBERRY LEAF
(2020-04-16)This research proposed the algorithm, that can detect powdery mildew and give the highest classification accuracy (CA). Three image processing and two machine learning algorithms (artificial neural network; ANN and support ... -
Towards Coevolutionary Genetic Programming with Pareto Archiving Under Streaming Data
(2013-08-16)Classification under streaming data constraints implies that training must be performed continuously, can only access individual exemplars for a short time after they arrive, must adapt to dynamic behaviour over time, and ... -
Towards Expertise Modeling Using Hierarchical Classification and Wikipedia Knowledge
(2016-12-19)We define expertise modeling as profiling an expert, a knowledgeable person in one or more domains, based on evidence from research articles into one or more research topics. The traditional text classification approach ... -
Urschleim in Silicon: Return-Oriented Program Evolution with ROPER
(2018-04-20)Return-orientated programming (ROP) identifies pieces of a process’s executable memory ending in a return instruction (gadgets), and enlists them as an instruction set in which a new, “parasitic” program can be written, ... -
User Growth Intern at Figure 1
(2017-08-18)The purpose of user growth is to acquire new users to use a product or service. In the case of the internship at Figure 1, user growth is acquiring health care professionals for medical collaboration. Figure 1 is a tech ... -
Validating a Meditation-based Mind Wandering BCI: A Pilot Study
(2023-09-06)Brain-computer interfaces (BCI) have become a burgeoning field of research as computers become embedded in everyday life. Electroencephalography (EEG) is the preferred brain measurement device used in BCIs, though research- ... -
VISUAL ANALYTICS OF RESEARCH COMMUNITY EXPERTISE IN SPACE AND TIME
(2019-08-14)Association for Computing Machinery (ACM) is an international learned society for computing. ACM operates the Distinguished Speaker Program (ACMDSP). ACMDSP maintains a list of speakers, who can be invited to deliver ...