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ICML
2000
IEEE
16 years 5 months ago
FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
Joseph O'Sullivan, John Langford, Rich Caruana, Av...
159
Voted
DEBS
2009
ACM
15 years 11 months ago
Distributed event stream processing with non-deterministic finite automata
Efficient matching of incoming events to persistent queries is fundamental to event pattern matching, complex event processing, and publish/subscribe systems. Recent processing e...
Lars Brenna, Johannes Gehrke, Mingsheng Hong, Dag ...
MFCS
2007
Springer
15 years 10 months ago
Traces of Term-Automatic Graphs
In formal language theory, many families of languages are defined using grammars or finite acceptors like pushdown automata and Turing machines. For instance, context-sensitive l...
Antoine Meyer
ASWEC
2005
IEEE
15 years 10 months ago
A UML Approach to the Generation of Test Sequences for Java-Based Concurrent Systems
Starting with a UML specification that captures the underlying functionality of some given Java-based concurrent system, we describe a systematic way to construct, from this speci...
Soon-Kyeong Kim, Luke Wildman, Roger Duke
170
Voted
ICMLA
2003
15 years 6 months ago
Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm
– Discretization is a process of converting a continuous attribute into an attribute that contains small number of distinct values. One of the major reasons for discretizing an a...
Lukasz A. Kurgan, Krzysztof J. Cios