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ICML
2009
IEEE
16 years 4 months ago
Structure learning with independent non-identically distributed data
There are well known algorithms for learning the structure of directed and undirected graphical models from data, but nearly all assume that the data consists of a single i.i.d. s...
Robert E. Tillman
ISNN
2004
Springer
15 years 9 months ago
Unsupervised Learning for Hierarchical Clustering Using Statistical Information
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
Masaru Okamoto, Nan Bu, Toshio Tsuji
ACL
2004
15 years 5 months ago
Statistical Machine Translation by Parsing
In an ordinary syntactic parser, the input is a string, and the grammar ranges over strings. This paper explores generalizations of ordinary parsing algorithms that allow the inpu...
I. Dan Melamed
AI
2000
Springer
15 years 3 months ago
Belief functions and default reasoning
We present a new approach to dealing with default information based on the theory of belief functions. Our semantic structures, inspired by Adams' -semantics, are epsilon-beli...
Salem Benferhat, Alessandro Saffiotti, Philippe Sm...
ECCV
2004
Springer
16 years 5 months ago
Causal Camera Motion Estimation by Condensation and Robust Statistics Distance Measures
The problem of Simultaneous Localization And Mapping (SLAM) originally arose from the robotics community and is closely related to the problems of camera motion estimation and stru...
Tal Nir, Alfred M. Bruckstein