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ML
2007
ACM
144views Machine Learning» more  ML 2007»
13 years 8 months ago
Invariant kernel functions for pattern analysis and machine learning
In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
Bernard Haasdonk, Hans Burkhardt
JOT
2007
94views more  JOT 2007»
13 years 9 months ago
A Typing Scheme for Behavioural Models
State machines can be used to specify the behaviour of objects in a system by describing the relationships between the states of the object and its ability to respond to events pr...
Ashley T. McNeile, Nicholas Simons
COLT
2005
Springer
14 years 2 months ago
A PAC-Style Model for Learning from Labeled and Unlabeled Data
Abstract. There has been growing interest in practice in using unlabeled data together with labeled data in machine learning, and a number of different approaches have been develo...
Maria-Florina Balcan, Avrim Blum

Book
803views
15 years 7 months ago
Introduction to Neural Networks for Java
This book covers several topics such as: overview of neural networks, matrix operations in Java, Hopfield Neural Network, machine learning, feedforward backpropagation, Simulated a...
Jeff Heaton
CISC
2006
Springer
81views Cryptology» more  CISC 2006»
14 years 23 days ago
Return Address Randomization Scheme for Annuling Data-Injection Buffer Overflow Attacks
Buffer overflow(BOF) has been the most common form of vulnerability in software systems today, and many methods exist to defend software systems against BOF attacks. Among them, th...
Deok Jin Kim, Tae Hyung Kim, Jong Kim, Sung Je Hon...