UMBC Electronic Theses and Dissertations

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(21 results)

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- Learning the Structure of Hyperedge Replacement Graph Grammars
- Berrios, David Hyon
- Computer Science and Electrical Engineering;
- hyperedge replacement; context-free graph grammar; graph mining; Computer Science (0984)
- 2008-02-12;
- Transfer in the Context of Reinforcement Learning Mapping Q-tables
- Ray, Soumi
- Computer Science and Electrical Engineering;
- Computer Science (0984)
- 2007-07-12;
- Using Expert Traces to Reduce Training Time in Reinforcement Learning
- Goldfinger, Joel David
- Computer Science and Electrical Engineering;
- Computer Science(0984); Reinforcement Learning; Reward Shaping
- 2008-08-19;
- Feature-Based Local Policy Reinforcement Learning
- Feltenberger, David P.
- Computer Science and Electrical Engineering;
- 2d images; artificial intelligence; growing neural gas; local policy; neural network; reinforcement learning
- 2009-01-01
- Feature Extraction from Images of Mass Disaster Victims
- Chhaya, Niyati H.
- Computer Science and Electrical Engineering;
- Feature extraction; Image processing; Machine learning; Pattern recognition
- 2010-01-01
- Energy Efficient Node Engagement Strategies for Achieving Data Fidelity in Wireless Sensor Networks
- Sapre, Namita Shrinivas
- Computer Science and Electrical Engineering;
- Base Station; Consensus of neighbors; Data Fidelity; Energy Conservation; Kalman Filter; Wireless Sensor Networks
- 2010-01-01
- Stochastic Graph Grammars: Parameter Learning and Applications
- Mukherjee, Sourav
- Computer Science and Electrical Engineering;
- Applications of Graph Grammars; Graph Grammar; Graph Mining; Parameter Learning; Relational Data Mining; Stochastic Graph Grammar
- 2010-01-01
- Discovering and Characterizing Hidden Variables in Streaming Multivariate Time Series
- Ray, Soumi
- Computer Science and Electrical Engineering;
- Hidden variables; Linear Dynamical systems; Machine Learning; Neural Networks; Theoretical entities
- 2010-01-01
- Towards Relational Theory Formation from Undifferentiated Sensor Data
- Pickett, Marc Joseph
- Computer Science and Electrical Engineering;
- Artificial Intelligence; Concept Formation; Developmental Robotics; Machine Learning; Neural Modeling; Unsupervised Learning
- 2011-01-01
- Feature Extraction using a Hierarchical Growing Neural Gas
- Guseman III, Roger Paul
- Computer Science and Electrical Engineering;
- 2011-01-01
- Recovering from Soft Node Failures in Wireless Sensor Networks using Neural Networks.
- Subramani, Shivvasangari
- Computer Science and Electrical Engineering;
- Fault detection and recovery; Neural Networks; Wireless Sensor Networks
- 2011-01-01
- Face Recognition using Gabor Jets for Images of Mass Disaster Victims
- Dabke, Kavita Sudheer
- Computer Science and Electrical Engineering;
- 2011-01-01
- Speaker Characteristic-based Acoustic Model Adaptation Method for Speaker Recognition Systems
- Millington, Daniel Scott
- Computer Science and Electrical Engineering;
- Characteristic Classification; Speaker Classification; Speaker Recognition
- 2011-01-01
- Finding a Temporal Comparison Function for the Metacognitive Loop
- Wright, Dean Earl
- Computer Science and Electrical Engineering;
- MCL; Metacognition; Repair
- 2011-01-01
- Mining Commonsense Knowledge from the Web: Towards Inducing Script-like Structures From Large-scale Text Sources
- Kasch, Niels
- Computer Science and Electrical Engineering;
- Commonsense knowledge; Concept Modeling for Scripts; Schank; script-like structures; topic-driven; topic-specific corpus
- 2012-01-01
- Multivariate Time Series Analysis of Physiological and Clinical Data
- Ordonez, Patricia
- Computer Science and Electrical Engineering;
- biomedical informatics; classification; clinical informatics; data visualization; multivariate time series
- 2012-01-01
- Towards Implementation of a Pattern Recognition System based on a Working Theory of the Learning Rule for Dendritic Integration
- Patel, Shamit Atul
- Computer Science and Electrical Engineering;
- computational neuroscience; dendritic integration; Hierarchical Temporal Memory; machine learning; neural networks; pattern recognition
- 2012-01-01
- From Sensors to Structures: Unsupervised Language Learning
- Armstrong, Thomas Sylvester
- Computer Science and Electrical Engineering;
- Computer Science (0984)
- 2008-10-10;
- Swarm Robotics: Parallelized Line Formation
- Feldman, Alexander
- Computer Science and Electrical Engineering;
- Algorithm; Formation; Line; Parallelized; Robotics; Swarm; Computer Science (0984); Engineering, Robotics (0771)
- 2008-01-01;
- Adversarial Classification: An Ensemble-based approach
- Chinavle, Deepak Niwrutti
- Computer Science and Electrical Engineering
- adversarial classification; concept drift; machine learning
- 2009-01-01;

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