Sciweavers

3624 search results - page 153 / 725
» Learning to learn: From smart machines to intelligent machin...
Sort
View
ICML
2006
IEEE
16 years 7 months ago
Estimating relatedness via data compression
We show that it is possible to use data compression on independently obtained hypotheses from various tasks to algorithmically provide guarantees that the tasks are sufficiently r...
Brendan Juba
DIS
2009
Springer
15 years 4 months ago
Player Modeling for Intelligent Difficulty Adjustment
In this paper we aim at automatically adjusting the difficulty of computer games by clustering players into different types and supervised prediction of the type from short traces ...
Olana Missura, Thomas Gärtner
FLAIRS
2008
15 years 8 months ago
Learning to Assess Low-Level Conceptual Understanding
This paper analyzes the impact of several lexical and grammatical features in automated assessment of students' finegrained understanding of tutored concepts. Truly effective...
Rodney D. Nielsen, Wayne Ward, James H. Martin
GECCO
2009
Springer
161views Optimization» more  GECCO 2009»
16 years 1 months ago
Are evolutionary rule learning algorithms appropriate for malware detection?
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
ICML
2007
IEEE
16 years 7 months ago
Learning to rank: from pairwise approach to listwise approach
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Han...