849 search results - page 66 / 170 » Learning to Solve Problems from Exercises |
FOCS
2006
IEEE
14 years 3 months ago
2006
IEEE
Learning an unknown halfspace (also called a perceptron) from labeled examples is one of the classic problems in machine learning. In the noise-free case, when a halfspace consist...
EPIA
2009
Springer
14 years 4 months ago
2009
Springer
Inductive Logic Programming (ILP) [1] systems are general purpose learners that have had significant success on solving a number of relational problems, particularly from the biol...
EVOW
1994
Springer
14 years 1 months ago
1994
Springer
The genetic programming (GP) paradigm is a new approach to inductively forming programs that describe a particular problem. The use of natural selection based on a fitness ]unction...
ACML
2009
Springer
14 years 4 months ago
2009
Springer
Real-world face recognition systems are sometimes confronted with degraded face images, e.g., low-resolution, blurred, and noisy ones. Traditional two-step methods have limited per...
ICMLA
2010
13 years 7 months ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...