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Searching for "On the Complexity of Classification Functions." – sorted by Relevance.

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12 documents found, showing 1 through 10. Next 10 →

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Complexity Bounds of Emerging Structures in Self-Organizing Networks
by Achim G. Hoffmann
… the structures that may emerge in such a system. Results on the complexity of classification functions…
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Using SQL primitives and parallel DB servers to speed up knowledge discovery in large relational databases.
by Alex Alves Freitas, Simon H. Lavington — 1996 — Proceedings EMCSR '96
… and a relatively complex classification function, denoted F2. F2 consists of five disjuncts, out…
Cited by 11 (3 self) – Add To MetaCart

Using SQL primitives and parallel DB servers to speed up knowledge discovery in large relational databases.
by Alex Alves, Alex Alves Freitas, Simon H. Lavington — 1996 — Proceedings EMCSR '96
… and a relatively complex classification function, denoted F2. F2 consists of five disjuncts, out…
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Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade
by Paul Viola, Michael Jones — 2001 — Advances in Neural Information Processing System 14
… known that more complex classification functions yield lower training errors yet run the risk of poor…
Cited by 41 (0 self) – Add To MetaCart

A Scalable IP QoS Framework for the Delivery of Enhanced IP Interactive Services
by Panagiotis G. Stathopoulos, Lambros Sarakis, Nikolas Mitrou — 2001 — IP Interactive Services”, Proc. International Conference on Media Futures
… the underlying IntServ network. Per application flow admission control and complex classification functions…
Cited by 1 (1 self) – Add To MetaCart

Object recognition with informative features and linear classification
by Michel Vidal-naquet, Shimon Ullman — 2003 — In ICCV
… require a more complex classification function that relies on higher order aspects of the features…
Cited by 53 (1 self) – Add To MetaCart

Efficient Symbolic Signatures for Classifying Craniosynostosis Skull Deformities
by H. Jill Lin, Salvador Ruiz-correa, Raymond W. Sze, Michael L, Matthew L. Speltz, Anne V. Hing, Linda G. Shapiro
… descriptors. More specifically, the worst case complexity of a ν-SVM classification function that uses cranial…
Cited by 1 (1 self) – Add To MetaCart

An analytical method for multiclass molecular cancer classification
by Ryan Rifkin, Sayan Mukherjee, Pablo Tamayo, Sridhar Ramaswamy, Chen-hsiang Yeang, Michael Angelo, Michael Reich, Tomaso Poggio, Eric S. L, Todd R. Golub, Jill P. Mesirov — 2003 — SIAM Review
… for the purpose of molecular cancer classification. Proteins in cells are essential to all of the functions…
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Fast modular network implementation for support vector machines
by Guang-bin Huang, K. Z. Mao, Chee-kheong Siew, De-shuang Huang, Senior Member, Senior Member — 2005 — IEEE Transactions on Neural Networks
… few real benchmarking large complex classification and function approximation problems are given…
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Alopex: a correlation-based learning algorithm for feedforward and recurrent neural networks
by K. P. Unnikrishnan, K. P. Venugopal — 1994 — Neural Computation
… complex classification functions and can discover these representations using powerful learning algorithms…
Cited by 18 (1 self) – Add To MetaCart

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