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ICML
2009
IEEE
14 years 9 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
TNN
2008
88views more  TNN 2008»
13 years 9 months ago
A Fault-Tolerant Regularizer for RBF Networks
In classical training methods for node open fault, we need to consider many potential faulty networks. When the multinode fault situation is considered, the space of potential faul...
Chi-Sing Leung, J. P. F. Sum
ICFP
1999
ACM
14 years 1 months ago
Type Dispatch for Named Hierarchical Types
Type dispatch constructs are an important feature of many programming languages. Scheme has predicates for testing the runtime type of a value. Java has a class cast expression an...
Neal Glew
GLVLSI
2007
IEEE
140views VLSI» more  GLVLSI 2007»
14 years 3 months ago
Structured and tuned array generation (STAG) for high-performance random logic
Regularly structured design techniques can combat complexity on a variety of fronts. We present the Structured and Tuned Array Generation (STAG) design methodology, which provides...
Matthew M. Ziegler, Gary S. Ditlow, Stephen V. Kos...
GIS
2008
ACM
13 years 10 months ago
Sparse terrain pyramids
Bintrees based on longest edge bisection and hierarchies of diamonds are popular multiresolution techniques on regularly sampled terrain datasets. In this work, we consider sparse...
Kenneth Weiss, Leila De Floriani