Sciweavers

2326 search results - page 164 / 466
» Optimization on Support Vector Machines
Sort
View
JMLR
2010
121views more  JMLR 2010»
14 years 5 months ago
Sparse Semi-supervised Learning Using Conjugate Functions
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
Shiliang Sun, John Shawe-Taylor
97
Voted
CGO
2007
IEEE
15 years 4 months ago
Run-Time Support for Optimizations Based on Escape Analysis
The JavaTM programming language does not allow the programmer to influence memory management. An object is usually allocated on the heap and deallocated by the garbage collector ...
Thomas Kotzmann, Hanspeter Mössenböck
96
Voted
ICDCS
2009
IEEE
15 years 5 months ago
On Optimal Concurrency Control for Optimistic Replication
Concurrency control is a core component in optimistic replication systems. To detect concurrent updates, the system associates each replicated object with metadata, such as, versi...
Weihan Wang, Cristiana Amza
104
Voted
AUSAI
2008
Springer
15 years 8 days ago
Character Recognition Using Hierarchical Vector Quantization and Temporal Pooling
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
John Thornton, Jolon Faichney, Michael Blumenstein...
99
Voted
IJBRA
2010
133views more  IJBRA 2010»
14 years 7 months ago
Scalable biomedical Named Entity Recognition: investigation of a database-supported SVM approach
This paper explores the scalability issues associated with solving the Named Entity Recognition (NER) problem using Support Vector Machines (SVM) and high-dimensional features and ...
Mona Soliman Habib, Jugal Kalita