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» Using Machine Learning Techniques to Interpret WH-questions
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69
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AIME
2005
Springer
15 years 5 months ago
Populating an Allergens Ontology Using Natural Language Processing and Machine Learning Techniques
Alexandros G. Valarakos, Vangelis Karkaletsis, Dim...
ICML
2007
IEEE
16 years 12 days ago
Learning from interpretations: a rooted kernel for ordered hypergraphs
The paper presents a kernel for learning from ordered hypergraphs, a formalization that captures relational data as used in Inductive Logic Programming (ILP). The kernel generaliz...
Gabriel Wachman, Roni Khardon
ICML
2006
IEEE
16 years 12 days ago
Convex optimization techniques for fitting sparse Gaussian graphical models
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
80
Voted
ICML
2002
IEEE
16 years 12 days ago
Interpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based approach
We present two results which arise from a model-based approach to hierarchical agglomerative clustering. First, we show formally that the common heuristic agglomerative clustering...
Sepandar D. Kamvar, Dan Klein, Christopher D. Mann...
ML
2002
ACM
220views Machine Learning» more  ML 2002»
14 years 11 months ago
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
Peter Sollich