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PPSN
1990
Springer
14 years 2 months ago
Feature Construction for Back-Propagation
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
Selwyn Piramuthu
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
14 years 11 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
CHI
2004
ACM
14 years 11 months ago
Examining the robustness of sensor-based statistical models of human interruptibility
Current systems often create socially awkward interruptions or unduly demand attention because they have no way of knowing if a person is busy and should not be interrupted. Previ...
James Fogarty, Scott E. Hudson, Jennifer Lai
ICST
2009
IEEE
14 years 5 months ago
Using JML Runtime Assertion Checking to Automate Metamorphic Testing in Applications without Test Oracles
It is challenging to test applications and functions for which the correct output for arbitrary input cannot be known in advance, e.g. some computational science or machine learni...
Christian Murphy, Kuang Shen, Gail E. Kaiser
RAID
2009
Springer
14 years 5 months ago
VirusMeter: Preventing Your Cellphone from Spies
Due to the rapid advancement of mobile communication technology, mobile devices nowadays can support a variety of data services that are not traditionally available. With the growi...
Lei Liu, Guanhua Yan, Xinwen Zhang, Songqing Chen