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TKDE
2010
137views more  TKDE 2010»
14 years 10 months ago
A Survey on Transfer Learning
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
Sinno Jialin Pan, Qiang Yang
ICML
2004
IEEE
16 years 20 days ago
Generalized low rank approximations of matrices
The problem of computing low rank approximations of matrices is considered. The novel aspect of our approach is that the low rank approximations are on a collection of matrices. W...
Jieping Ye
ATAL
2009
Springer
15 years 6 months ago
Generalized model learning for reinforcement learning in factored domains
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...
Todd Hester, Peter Stone
ASPLOS
2008
ACM
15 years 1 months ago
General and efficient locking without blocking
Standard concurrency control mechanisms offer a trade-off: Transactional memory approaches maximize concurrency, but suffer high overheads and cost for retrying in the case of act...
Yannis Smaragdakis, Anthony Kay, Reimer Behrends, ...
ESA
2006
Springer
134views Algorithms» more  ESA 2006»
15 years 3 months ago
An Improved Construction for Counting Bloom Filters
A counting Bloom filter (CBF) generalizes a Bloom filter data structure so as to allow membership queries on a set that can be changing dynamically via insertions and deletions. As...
Flavio Bonomi, Michael Mitzenmacher, Rina Panigrah...