2553 search results - page 292 / 511 » Evaluating machine creativity |
172
click to vote
ICML
1999
IEEE
16 years 5 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
147
Voted
KDD
2005
ACM
15 years 10 months ago
2005
ACM
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
170
click to vote
MLDM
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
149
click to vote
EXPCS
2007
15 years 9 months ago
2007
Experimental computer systems research typically ignores the end-user, modeling him, if at all, in overly simple ways. We argue that this (1) results in inadequate performance eva...
152
Voted
ML
2006
ACM
15 years 5 months ago
2006
ACM
Most game programs have a large number of parameters that are crucial for their performance. While tuning these parameters by hand is rather difficult, efficient and easy to use ge...