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UAI
1998
15 years 9 months ago
A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
Stefano Monti, Gregory F. Cooper
CONSTRAINTS
1998
108views more  CONSTRAINTS 1998»
15 years 7 months ago
Constraints in Graph Drawing Algorithms
Graphs are widely used for information visualization purposes, since they provide a natural and intuitive tation of complex abstract structures. The automatic generation of drawing...
Roberto Tamassia
NIPS
2008
15 years 9 months ago
Tighter Bounds for Structured Estimation
Large-margin structured estimation methods minimize a convex upper bound of loss functions. While they allow for efficient optimization algorithms, these convex formulations are n...
Olivier Chapelle, Chuong B. Do, Quoc V. Le, Alexan...
ECSQARU
1997
Springer
15 years 11 months ago
Cactus: A Branching-Time Logic Programming Language
Abstract. Temporal programming languages are recognized as natural and expressive formalisms for describing dynamic systems. However, most such languages are based on linear ow of ...
Panos Rondogiannis, Manolis Gergatsoulis, Themis P...
TVLSI
2008
139views more  TVLSI 2008»
15 years 7 months ago
Ternary CAM Power and Delay Model: Extensions and Uses
Applications in computer networks often require high throughput access to large data structures for lookup and classification. While advanced algorithms exist to speed these search...
Banit Agrawal, Timothy Sherwood