ICCBR
2009
Springer
13 years 10 months ago
2009
Springer
In this paper we revisit the trade-off between adaptation and retrieval effort traditionally held as a principle in case-based reasoning. This principle states that the time needed...
ICCBR
2009
Springer
13 years 10 months ago
2009
Springer
Abstract. In this paper we present a method for supplementing incomplete cases with information from other cases within a case base. The acquisition of complete and correct cases i...
ICCBR
2009
Springer
13 years 10 months ago
2009
Springer
Personalizing the product recommendation task is a major focus of research in the area of conversational recommender systems. Conversational case-based recommender systems help use...
ICCBR
2009
Springer
13 years 10 months ago
2009
Springer
Abstract. When learning by observing an expert, cases can be automatically generated in an inexpensive manner. However, since this is a passive method of learning the observer has ...
ICCBR
2009
Springer
13 years 10 months ago
2009
Springer
This paper presents a new approach for spatial event prediction that combines a value function approximation algorithm and case-based reasoning predictors. Each of these predictors...
ICCBR
2009
Springer
13 years 10 months ago
2009
Springer
Case-based planning (CBP) systems are based on the idea of reusing past successful plans for solving new problems. Previous research has shown the ability of meta-reasoning approac...
ICCBR
2009
Springer
13 years 10 months ago
2009
Springer
In forestry, it is important to be able to accurately determine the volume of timber in a harvesting site and the products that could potentially be produced from that timber. We d...
ICCBR
2009
Springer
13 years 10 months ago
2009
Springer
Positive transfer learning (TL) occurs when, after gaining experience from learning how to solve a (source) task, the same learner can exploit this experience to improve performanc...
ICCBR
2009
Springer
13 years 10 months ago
2009
Springer
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...
ICCBR
2009
Springer
13 years 10 months ago
2009
Springer
