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A survey of multi-view machine learning
2013
Neural computing & applications (Print)
Multi-view learning or learning with multiple distinct feature sets is a rapidly growing direction in machine learning with well theoretical underpinnings and great practical success. This paper reviews theories developed to understand the properties and behaviors of multi-view learning, and gives a taxonomy of approaches according to the machine learning mechanisms involved and the fashions in which multiple views are exploited. This survey aims to provide an insightful organization of current
doi:10.1007/s00521-013-1362-6
fatcat:kzt7hibfo5axheedlaofw3pb7m