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AAAI
2010
13 years 9 months ago
Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
Ian Porteous, Arthur Asuncion, Max Welling
AAAI
2004
13 years 9 months ago
A Multi-Resolution Pyramid for Outdoor Robot Terrain Perception
This paper addresses the problem of outdoor terrain modeling for the purposes of mobile robot navigation. We propose an approach in which a robot acquires a set of terrain models ...
Michael Montemerlo, Sebastian Thrun
AAAI
2006
13 years 9 months ago
Automatically Labeling the Inputs and Outputs of Web Services
Information integration systems combine data from multiple heterogeneous Web services to answer complex user queries, provided a user has semantically modeled the service first. T...
Kristina Lerman, Anon Plangprasopchok, Craig A. Kn...
AAAI
2006
13 years 9 months ago
From Pigeons to Humans: Grounding Relational Learning in Concrete Examples
We present a cognitive model that bridges work in analogy and category learning. The model, Building Relations through Instance Driven Gradient Error Shifting (BRIDGES), extends A...
Marc T. Tomlinson, Bradley C. Love
AAAI
1998
13 years 9 months ago
Supermodels and Robustness
When search techniques are used to solve a practical problem, the solution produced is often brittle in the sense that small execution difficulties can have an arbitrarily large e...
Matthew L. Ginsberg, Andrew J. Parkes, Amitabha Ro...