1864 search results - page 126 / 373 » Modeling Classification and Inference Learning |
97
Voted
ICIAP
2005
ACM
16 years 26 days ago
2005
ACM
Abstract. Application and development of specialized machine learning techniques is gaining increasing attention in the intrusion detection community. A variety of learning techniq...
96
Voted
NIPS
2004
15 years 2 months ago
2004
We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...
137
Voted
CORR
2012
Springer
13 years 8 months ago
2012
Springer
The key limiting factor in graphical model inference and learning is the complexity of the partition function. We thus ask the question: what are the most general conditions under...
93
Voted
AAAI
2007
15 years 3 months ago
2007
Recent work has shown promise in using large, publicly available, hand-contributed commonsense databases as joint models that can be used to infer human state from day-to-day sens...
89
Voted
ECTEL
2009
Springer
15 years 5 months ago
2009
Springer
Work-integrated learning (WIL) poses unique challenges for user model design: on the one hand users’ knowledge levels need to be determined based on their work activities – tes...