280 search results - page 45 / 56 » Movement Prediction Using Bayesian Learning for Neural Netwo... |
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
ICONIP
2008
13 years 9 months ago
2008
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— We present a computational model of human category learning that learns the essential structures of the categories by forgetting information that is not useful for the given ta...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
UAI
2003
13 years 9 months ago
2003
In this paper we present a family of models and learning algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our...