Sciweavers

801 search results - page 1 / 161
» The Inefficiency of Batch Training for Large Training Sets
Sort
View
IJCNN
2000
IEEE
13 years 9 months ago
The Inefficiency of Batch Training for Large Training Sets
Multilayer perceptrons are often trained using error backpropagation (BP). BP training can be done in either a batch or continuous manner. Claims have frequently been made that bat...
D. Randall Wilson, Tony R. Martinez
BMCBI
2006
93views more  BMCBI 2006»
13 years 4 months ago
A summarization approach for Affymetrix GeneChip data using a reference training set from a large, biologically diverse database
Background: Many of the most popular pre-processing methods for Affymetrix expression arrays, such as RMA, gcRMA, and PLIER, simultaneously analyze data across a set of predetermi...
Simon Katz, Rafael A. Irizarry, Xue Lin, Mark Trip...
CVPR
2012
IEEE
11 years 7 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
ICES
2003
Springer
124views Hardware» more  ICES 2003»
13 years 10 months ago
Evolving Multiplier Circuits by Training Set and Training Vector Partitioning
Evolvable Hardware (EHW) has been proposed as a new method for evolving circuits automatically. One of the problems appearing is that only circuits of limited size are evolvable. I...
Jim Torresen
ICML
2007
IEEE
14 years 5 months ago
Piecewise pseudolikelihood for efficient training of conditional random fields
Discriminative training of graphical models can be expensive if the variables have large cardinality, even if the graphical structure is tractable. In such cases, pseudolikelihood...
Charles A. Sutton, Andrew McCallum