PRL
2010
13 years 7 months ago
2010
For fast classification under real-time constraints, as required in many imagebased pattern recognition applications, linear discriminant functions are a good choice. Linear discr...
AAAI
2010
14 years 1 months ago
2010
Motivated by a real-world problem, we study a novel budgeted optimization problem where the goal is to optimize an unknown function f(x) given a budget. In our setting, it is not ...
AAAI
1994
14 years 1 months ago
1994
We describe a bottom-up approach to the design of software agents. We built and tested an agent system that addresses the real-world problem of handling the activities involved in...
ECML
2006
Springer
14 years 4 months ago
2006
Springer
Abstract. Active learning algorithms attempt to accelerate the learning process by requesting labels for the most informative items first. In real-world problems, however, there ma...
ESCIENCE
2007
IEEE
14 years 4 months ago
2007
IEEE
Increasing the efficiency of meander line antennas is an important real-world problem within radio frequency identification (RFID). Meta-heuristic search algorithms, such as ant c...
ICML
1998
IEEE
14 years 4 months ago
1998
IEEE
We present and solve a real-world problem of learning to drive a bicycle. We solve the problem by online reinforcement learning using the Sarsa( )-algorithm. Then we solve the ...
CSEE
1999
Springer
14 years 4 months ago
1999
Springer
Real-world case studies are important to complement the academic skills and knowledge acquired by computer science students. In this paper we relate our experiences with a course ...
CEC
2003
IEEE
14 years 5 months ago
2003
IEEE
Although many methods for dealing with multi-objective optimisation (MOO) problems are available [Deb01] and successful applications have been reported [Coe01], the comparison betw...
ESA
2007
Springer
14 years 6 months ago
2007
Springer
We consider the real-world problem of extending a given infrastructure network in order to connect new customers. By representing the infrastructure by a single root node, this pro...