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KDD
2010
ACM
272views Data Mining» more  KDD 2010»
15 years 2 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
LPAR
2010
Springer
15 years 2 months ago
The Consistency of the CADIAG-2 Knowledge Base: A Probabilistic Approach
Abstract. The paper presents the methodology and the results of checking consistency of the knowledge base of CADIAG-2, a large-scale medical expert system. Such knowledge base con...
Pavel Klinov, Bijan Parsia, David Picado-Mui&ntild...
AI
2011
Springer
14 years 11 months ago
State agnostic planning graphs: deterministic, non-deterministic, and probabilistic planning
Planning graphs have been shown to be a rich source of heuristic information for many kinds of planners. In many cases, planners must compute a planning graph for each element of ...
Daniel Bryce, William Cushing, Subbarao Kambhampat...
JCPHY
2011
133views more  JCPHY 2011»
14 years 6 months ago
A Riemann solver for single-phase and two-phase shallow flow models based on relaxation. Relations with Roe and VFRoe solvers
We present a Riemann solver derived by a relaxation technique for classical single-phase shallow flow equations and for a two-phase shallow flow model describing a mixture of so...
Marica Pelanti, François Bouchut, Anne Mang...
KDD
2004
ACM
181views Data Mining» more  KDD 2004»
16 years 4 months ago
Column-generation boosting methods for mixture of kernels
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Jinbo Bi, Tong Zhang, Kristin P. Bennett