The choice of the right problem-solving method, from available methods, is a crucial skill for experts in many areas. We present a technique for automatic selection among methods based on analysis of their past performances. We formalize the statistical problem involved in choosing an efficient method, derive a solution to this problem, and describe a selection algorithm. The algorithm not only chooses among available methods, but also decides when to abandon the chosen method if it takes too much time. We then extend the basic statistical technique to account for problem sizes and similarity among problems
Users of machine learning algorithms need methods that can help them to identify algorithm or their ...
In this paper we address the problem of finding the simulated system with the best (maximum or minim...
In view of the substantial number of existing feature selection algorithms, the need arises to count...
The choice of the right problem-solving method, from available methods, is a crucial skill for exper...
The choice of an appropriate problem-solving method, from available methods, is a crucial skill for ...
It has long been observed that for practically any computational problem that has been intensely stu...
The Algorithm Selection Problem is to select the most appropriate way for solving a problem given a ...
Selection procedures are used in many applications to select the best of a finite set of alternative...
This paper compares various selection techniques used in Genetic Algorithm. Genetic algorithms are o...
The Algorithm Selection Problem is concerned with selecting the best algorithm to solve a given prob...
[[abstract]]In this paper, we address the problem of finding the simulated system with the best (max...
For many years, artificial intelligence research has beenfocusing on inventing new algorithms and ap...
In this paper statistical selection procedures are discussed in general terms. Statistical selection...
The algorithm selection problem is concerned with selecting the best algorithm to solve a given prob...
We have a collection of M alternatives, e.g. drug compounds. We have time for N experiments, to be p...
Users of machine learning algorithms need methods that can help them to identify algorithm or their ...
In this paper we address the problem of finding the simulated system with the best (maximum or minim...
In view of the substantial number of existing feature selection algorithms, the need arises to count...
The choice of the right problem-solving method, from available methods, is a crucial skill for exper...
The choice of an appropriate problem-solving method, from available methods, is a crucial skill for ...
It has long been observed that for practically any computational problem that has been intensely stu...
The Algorithm Selection Problem is to select the most appropriate way for solving a problem given a ...
Selection procedures are used in many applications to select the best of a finite set of alternative...
This paper compares various selection techniques used in Genetic Algorithm. Genetic algorithms are o...
The Algorithm Selection Problem is concerned with selecting the best algorithm to solve a given prob...
[[abstract]]In this paper, we address the problem of finding the simulated system with the best (max...
For many years, artificial intelligence research has beenfocusing on inventing new algorithms and ap...
In this paper statistical selection procedures are discussed in general terms. Statistical selection...
The algorithm selection problem is concerned with selecting the best algorithm to solve a given prob...
We have a collection of M alternatives, e.g. drug compounds. We have time for N experiments, to be p...
Users of machine learning algorithms need methods that can help them to identify algorithm or their ...
In this paper we address the problem of finding the simulated system with the best (maximum or minim...
In view of the substantial number of existing feature selection algorithms, the need arises to count...