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IJCAI
1997
15 years 8 months ago
Using Case-Based Reasoning in Interpreting Unsupervised Inductive Learning Results
The objective of this work is to interpret inductive results obtained by the unsupervised learning method OSHAM. We briefly introduce the learning process of OSHAM, that extracts ...
Tu Bao Ho, Chi Main Luong
ADVCS
2010
77views more  ADVCS 2010»
15 years 6 months ago
An Empirical Model for Electronic Submissions to Conferences
Electronic submission to a conference is a process that is known to evolve nonlinearly in time, with a dramatic increase when approaching the deadline. A model has recently been pr...
Patrick Flandrin
IJON
2010
140views more  IJON 2010»
15 years 5 months ago
Multi-task preference learning with an application to hearing aid personalization
We present an EM-algorithm for the problem of learning preferences with Gaussian processes in the context of multi-task learning. We validate our approach on an audiological data ...
Adriana Birlutiu, Perry Groot, Tom Heskes
ICML
2009
IEEE
16 years 7 months ago
A stochastic memoizer for sequence data
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Cédric Archambeau, Jan Gasthaus...
CHI
2008
ACM
16 years 7 months ago
Query suggestions for mobile search: understanding usage patterns
Entering search terms on mobile phones is a time consuming and cumbersome task. In this paper, we explore the usage patterns of query entry interfaces that display suggestions. Ou...
Maryam Kamvar, Shumeet Baluja