704 search results - page 118 / 141 » Learning the Ideal Evaluation Function |
KDD
2004
ACM
14 years 10 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
CORR
2004
Springer
13 years 9 months ago
2004
Springer
We study a general online convex optimization problem. We have a convex set S and an unknown sequence of cost functions c1, c2, . . . , and in each period, we choose a feasible po...
ATAL
2005
Springer
14 years 3 months ago
2005
Springer
In many negotiation and bargaining scenarios, a particular agent may need to interact repeatedly with another agent. Typically, these interactions take place under incomplete info...
CORR
2006
Springer
13 years 10 months ago
2006
Springer
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
CGO
2010
IEEE
14 years 4 months ago
2010
IEEE
Tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality. Effective use of tiling requires selection and tuning of the tile sizes. This is...