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1. COMPUTATIONAL-STATISTICAL TRADEOFF IN APPOROXIMATE KERNEL PRINCIPAL COMPONENT ANALYSIS

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2. Frontiers in Data-driven Learning via Probabilistic Finite State Automata

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3. Applications of Analytics in Disease Prediction Types

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4. Sculptured Thin Films as a Platform for Machine-Learning Based Optical Sensing of Analytes

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6. A Data Mining Model and a Real-Time Predictive Software Prototype for the Spatial Design and Planning of High Energy Performance Solar Community Microgrids

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7. TOPOLOGY OPTIMIZATION OF MULTIFUNCTIONAL THERMAL MANAGAMENT SYSTEMS FOR AEROSPACE APPLICATION

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9. Machine Learning and Optimization Applications on Near-term Quantum Computers

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