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ECML
2003
Springer
14 years 19 days ago
Logistic Model Trees
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
Niels Landwehr, Mark Hall, Eibe Frank
ICST
2009
IEEE
13 years 5 months ago
Proving Functional Equivalence of Two AES Implementations Using Bounded Model Checking
Bounded model checking--as well as symbolic equivalence checking--are highly successful techniques in the hardware domain. Recently, bit-vector bounded model checkers like CBMC ha...
Hendrik Post, Carsten Sinz
ILP
2007
Springer
14 years 1 months ago
Building Relational World Models for Reinforcement Learning
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
KDD
1998
ACM
170views Data Mining» more  KDD 1998»
13 years 11 months ago
Mining Audit Data to Build Intrusion Detection Models
In this paper we discuss a data mining framework for constructing intrusion detection models. The key ideas are to mine system audit data for consistent and useful patterns of pro...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
BIRTHDAY
2003
Springer
13 years 11 months ago
Aspect Validation Using Model Checking
Aspects are intended to add needed functionality to a system or to treat concerns of the system by augmenting or changing the existing code in a manner that cross-cuts the usual c...
Shmuel Katz, Marcelo Sihman