EMNLP
2011
12 years 4 months ago
2011
We present an online learning algorithm for training parsers which allows for the inclusion of multiple objective functions. The primary example is the extension of a standard sup...
MP
2010
12 years 11 months ago
2010
In many practical applications, the task is to optimize a non-linear objective function over the vertices of a well-studied polytope as, e.g., the matching polytope or the travelli...
CDC
2010
IEEE
12 years 11 months ago
2010
IEEE
Abstract-- In robot deployment problems, the fundamental issue is to optimize a steady state performance measure that depends on the spatial configuration of a group of robots. For...
CORR
2010
Springer
13 years 1 months ago
2010
Springer
In 2009, R
ICTAI
2009
IEEE
13 years 2 months ago
2009
IEEE
This paper describes a noise-aware dominance operator for evolutionary algorithms to solve the multiobjective optimization problems (MOPs) that contain noise in their objective fu...
ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
The discovery and construction of inherent regions in large spatial datasets is an important task for many research domains such as climate zoning, eco-region analysis, public heal...
LPAR
2010
Springer
13 years 2 months ago
2010
Springer
In this paper we introduce an extension of propositional logic that allows clauses to be weighted with values from a generic semiring. The main interest of this extension is that ...
TRANSCI
2008
13 years 3 months ago
2008
In the aftermath of a large disaster, the routing of vehicles carrying critical supplies can greatly impact the arrival times to those in need. Since it is critical that the deliv...
TJS
2002
13 years 4 months ago
2002
Historically, compilers have operated by applying a fixed set of optimizations in a predetermined order. We call such an ordered list of optimizations a compilation sequence. This...
JIFS
2002
13 years 4 months ago
2002
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...