120 search results - page 5 / 24 » A Recurrent Neural Network that Learns to Count |
EVOW
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
ESANN
2006
14 years 10 months ago
2006
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-...
VTC
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract—In this contribution, the application of fully connected recurrent neural networks (FCRNNs) is investigated in the context of narrowband channel prediction. Three differ...
IROS
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract— Tying suture knots is a time-consuming task performed frequently during Minimally Invasive Surgery (MIS). Automating this task could greatly reduce total surgery time f...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...