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INFOSCALE
2007
ACM
13 years 7 months ago
A distributed incremental nearest neighbor algorithm
Searching for non-text data (e.g., images) is mostly done by means of metadata annotations or by extracting the text close to the data. However, supporting real content-based audi...
Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti, ...
AAAI
2000
13 years 7 months ago
Depth-First Branch-and-Bound versus Local Search: A Case Study
Depth-first branch-and-bound (DFBnB) is a complete algorithm that is typically used to find optimal solutions of difficult combinatorial optimization problems. It can also be adap...
Weixiong Zhang
AAAI
2012
11 years 8 months ago
A Search Algorithm for Latent Variable Models with Unbounded Domains
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
Michael Chiang, David Poole
EKAW
2004
Springer
13 years 11 months ago
Incremental Knowledge Acquisition for Improving Probabilistic Search Algorithms
A new incremental knowledge acquisition approach for the effective development of efficient problem solvers for combinatorial problems based on probabilistic search algorithms is ...
J. P. Bekmann, Achim G. Hoffmann
CONSTRAINTS
2007
83views more  CONSTRAINTS 2007»
13 years 5 months ago
Generic Incremental Algorithms for Local Search
When a new (global) constraint is introduced in local search, measures for the penalty and variable conflicts of that constraint must be defined, and incremental algorithms for m...
Magnus Ågren, Pierre Flener, Justin Pearson