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AAAI
2000
15 years 8 months ago
A Quantitative Study of Small Disjuncts
Systems that learn from examples often express the learned concept in the form of a disjunctive description. Disjuncts that correctly classify few training examples are known as s...
Gary M. Weiss, Haym Hirsh
NIPS
1990
15 years 7 months ago
Convergence of a Neural Network Classifier
In this paper, we show that the LVQ learning algorithm converges to locally asymptotic stable equilibria of an ordinary differential equation. We show that the learning algorithm ...
John S. Baras, Anthony LaVigna
CORR
2011
Springer
147views Education» more  CORR 2011»
15 years 1 months ago
A Generalized Method for Integrating Rule-based Knowledge into Inductive Methods Through Virtual Sample Creation
Hybrid learning methods use theoretical knowledge of a domain and a set of classified examples to develop a method for classification. Methods that use domain knowledge have been ...
Ridwan Al Iqbal
286
Voted

Publication
244views
17 years 6 months ago
Phenomenon-aware Stream Query Processing
Spatio-temporal data streams that are generated from mobile stream sources (e.g., mobile sensors) experience similar environmental conditions that result in distinct phenomena. Sev...
M. H. Ali, Mohamed F. Mokbel, Walid G. Aref
ICDE
2008
IEEE
175views Database» more  ICDE 2008»
16 years 8 months ago
Continuous Intersection Joins Over Moving Objects
The continuous intersection join query is computationally expensive yet important for various applications on moving objects. No previous study has particularly addressed this que...
Rui Zhang 0003, Dan Lin, Kotagiri Ramamohanarao, E...