Sciweavers

488 search results - page 28 / 98
» Two-Stage Machine Learning model for guideline development
Sort
View
ICML
2010
IEEE
13 years 9 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
ML
2008
ACM
150views Machine Learning» more  ML 2008»
13 years 8 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
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
PADS
2005
ACM
14 years 2 months ago
Performance Benchmark of a Parallel and Distributed Network Simulator
Simulation of large-scale networks requires enormous amounts of memory and processing time. One way of speeding up these simulations is to distribute the model over a number of co...
Samson Lee, John Leaney, Tim O'Neill, Mark Hunter
ICML
2010
IEEE
13 years 9 months ago
FAB-MAP: Appearance-Based Place Recognition and Mapping using a Learned Visual Vocabulary Model
We present an overview of FAB-MAP, an algorithm for place recognition and mapping developed for infrastructure-free mobile robot navigation in large environments. The system allow...
Mark Joseph Cummins, Paul M. Newman