2073 search results - page 94 / 415 » Learning for Dynamic Subsumption |
135
Voted
CEC
2005
IEEE
15 years 5 months ago
2005
IEEE
In this paper, we study the dynamical properties of the population based incremental learning (PBIL) algorithm when it uses truncation, proportional, and Boltzmann selection schema...
119
Voted
ISCI
1998
15 years 3 months ago
1998
This paper presents a method for updating approximations of a concept incrementally. The results can be used to implement a quasi-incremental algorithm for learning classification...
125
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
MDPs are an attractive formalization for planning, but realistic problems often have intractably large state spaces. When we only need a partial policy to get from a fixed start s...
129
Voted
ICML
1995
IEEE
16 years 4 months ago
1995
IEEE
The success ofreinforcement learninginpractical problems depends on the ability to combine function approximation with temporal di erence methods such as value iteration. Experime...
134
Voted
VL
2009
IEEE
15 years 10 months ago
2009
IEEE
For developers debugging their own code, augmenting the code of others, or trying to learn the implementation details of interactive behaviors, understanding how web pages work is...