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LWA
2004
15 years 2 months ago
Modeling Rule Precision
This paper reports first results of an empirical study of the precision of classification rules on an independent test set. We generated a large number of rules using a general co...
Johannes Fürnkranz
113
Voted
AAAI
2004
15 years 2 months ago
On the Optimality of Probability Estimation by Random Decision Trees
Random decision tree is an ensemble of decision trees. The feature at any node of a tree in the ensemble is chosen randomly from remaining features. A chosen discrete feature on a...
Wei Fan
103
Voted
ETS
2011
IEEE
220views Hardware» more  ETS 2011»
14 years 14 days ago
Structural In-Field Diagnosis for Random Logic Circuits
—In-field diagnosability of electronic components in larger systems such as automobiles becomes a necessity for both customers and system integrators. Traditionally, functional ...
Alejandro Cook, Melanie Elm, Hans-Joachim Wunderli...
96
Voted
ITC
1996
IEEE
127views Hardware» more  ITC 1996»
15 years 4 months ago
Altering a Pseudo-Random Bit Sequence for Scan-Based BIST
This paper presents a low-overhead scheme for built-in self-test of circuits with scan. Complete (100%) fault coverage is obtained without modifying the function logic and without...
Nur A. Touba, Edward J. McCluskey
107
Voted
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 1 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford