86 search results - page 8 / 18 » The Interplay of Optimization and Machine Learning Research |
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
PAMI
2012
11 years 10 months ago
2012
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
CVPR
2011
IEEE
12 years 11 months ago
2011
IEEE
Similarity search, namely, finding approximate nearest neighborhoods, is the core of many large scale machine learning or vision applications. Recently, many research results dem...
ML
2010
ACM
13 years 2 months ago
2010
ACM
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
FLAIRS
2007
13 years 10 months ago
2007
Ontologies are an increasingly important tool in knowledge representation, as they allow large amounts of data to be related in a logical fashion. Current research is concentrated...