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» Perceptual Learning and Abstraction in Machine Learning
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HAIS
2009
Springer
15 years 2 months ago
Incremental Kernel Machines for Protein Remote Homology Detection
Abstract. Protein membership prediction is a fundamental task to retrieve information for unknown or unidentified sequences. When support vector machines (SVMs) are associated with...
Lionel Morgado, Carlos Pereira
ICARIS
2005
Springer
15 years 3 months ago
Immunising Automated Teller Machines
Abstract. This paper presents an immune-inspired adaptable error detection (AED) framework for Automated Teller Machines (ATMs). This framework two levels, one level is local to a ...
Modupe Ayara, Jon Timmis, Rogério de Lemos,...
DAARC
2007
Springer
86views Algorithms» more  DAARC 2007»
15 years 4 months ago
Evaluating Hybrid Versus Data-Driven Coreference Resolution
Abstract. In this paper, we present a systematic evaluation of a hybrid approach of combined rule-based filtering and machine learning to Dutch coreference resolution. Through the...
Iris Hendrickx, Véronique Hoste, Walter Dae...
ESANN
2006
14 years 11 months ago
Evolino for recurrent support vector machines
Abstract. We introduce a new class of recurrent, truly sequential SVM-like devices with internal adaptive states, trained by a novel method called EVOlution of systems with KErnel-...
Jürgen Schmidhuber, Matteo Gagliolo, Daan Wie...
51
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ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
14 years 8 months ago
"Architectural Robotics": An interdisciplinary course rethinking the machines we live in
Abstract— We discuss disciplinary barriers which have traditionally prevented robotics from significantly impacting the built (architectural) environment we inhabit. Specifical...
Apoorva Kapadia, Ian D. Walker, Keith Evan Green, ...