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EMNLP
2011
13 years 9 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
COCO
1993
Springer
133views Algorithms» more  COCO 1993»
15 years 2 months ago
On Span Programs
We introduce a linear algebraic model of computation, the Span Program, and prove several upper and lower bounds on it. These results yield the following applications in complexit...
Mauricio Karchmer, Avi Wigderson
ICALP
2007
Springer
15 years 4 months ago
Linear Problem Kernels for NP-Hard Problems on Planar Graphs
Abstract. We develop a generic framework for deriving linear-size problem kernels for NP-hard problems on planar graphs. We demonstrate the usefulness of our framework in several c...
Jiong Guo, Rolf Niedermeier
PDPTA
1996
14 years 11 months ago
Solving a 2D Knapsack Problem on an Associative Computer Augmented with a Linear Network
This paper describes a parallelization of the sequential dynamic programming method for solving a 2D knapsack problem where multiples of n rectangular objects are optimally packed...
Darrell R. Ulm, Johnnie W. Baker
IJBC
2007
39views more  IJBC 2007»
14 years 10 months ago
Optimal CNN Templates for Linearly-Separable One-Dimensional Cellular Automata
In this tutorial, we present optimal Cellular Nonlinear Network (CNN) templates for implementing linearly-separable one-dimensional (1-D) Cellular Automata (CA). From the gallery ...
P. J. Chang, Bharathwaj Muthuswamy