During Run 2, a second event occurred on the 27/11/2019(UTC) and was observed by both modes.
General Relativity and Quantum Cosmology High Energy Astrophysical Phenomena High Energy Physics - Experiment Instrumentation and Detectors
In addition, methods optimizing diversity can reduce training data in many cases to 50% with little impact on performance.
Semi-supervised learning is an efficient way to improve performance for natural language processing systems.
Word embedding models offer continuous vector representations that can capture rich contextual semantics based on their word co-occurrence patterns.
We demonstrate, on a 2006 NIST speaker recognition evaluation task, new scoring methods using IPDFs which produce excellent error rates and require significantly less computation than current techniques.
A natural technique for determining these characteristics is to first convert the input speech into a sequence of tokens such as words, phones, etc.