693 search results - page 11 / 139 » Minimization and Partitioning Method Reducing Input Sets |
NCI
2004
14 years 11 months ago
2004
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
CDC
2008
IEEE
14 years 11 months ago
2008
IEEE
Abstract-- The aim of this paper is to address left invertibility for dynamical systems with inputs and outputs in discrete sets. We study systems that evolve in discrete time with...
92
Voted
ICTAI
2003
IEEE
2003
IEEE
Partitioning of Temporal Planning Problems in Mixed Space Using the Theory of Extended Saddle Points
15 years 2 months ago
We study the partitioning of temporal planning problems formulated as mixed-integer nonlinear programming problems, develop methods to reduce the search space of partitioned subpr...
ICML
1994
IEEE
15 years 1 months ago
1994
IEEE
We explore algorithms for learning classification procedures that attempt to minimize the cost of misclassifying examples. First, we consider inductive learning of classification ...
92
Voted
ATS
1998
IEEE
15 years 1 months ago
1998
IEEE
We propose a new static test set compaction method based on a careful examination of attributes of fault coverage curves. Our method is based on two key ideas: 1 fault-list and te...