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PAMI
2007
137views more  PAMI 2007»
15 years 4 months ago
Biometrics from Brain Electrical Activity: A Machine Learning Approach
—The potential of brain electrical activity generated as a response to a visual stimulus is examined in the context of the identification of individuals. Specifically, a framewor...
Ramaswamy Palaniappan, Danilo P. Mandic
ISW
2010
Springer
15 years 2 months ago
Implicit Authentication through Learning User Behavior
Users are increasingly dependent on mobile devices. However, current authentication methods like password entry are significantly more frustrating and difficult to perform on these...
Elaine Shi, Yuan Niu, Markus Jakobsson, Richard Ch...
RECSYS
2010
ACM
15 years 2 months ago
List-wise learning to rank with matrix factorization for collaborative filtering
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
Yue Shi, Martha Larson, Alan Hanjalic
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
15 years 10 months ago
Mining breast cancer data with XCS
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a prima...
Faten Kharbat, Larry Bull, Mohammed Odeh
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 10 months ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett