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ICML
2009
IEEE
16 years 7 months ago
Proto-predictive representation of states with simple recurrent temporal-difference networks
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
Takaki Makino
ICML
2009
IEEE
16 years 7 months ago
Good learners for evil teachers
We consider a supervised machine learning scenario where labels are provided by a heterogeneous set of teachers, some of which are mediocre, incompetent, or perhaps even malicious...
Ofer Dekel, Ohad Shamir
ICML
2008
IEEE
16 years 7 months ago
Classification using discriminative restricted Boltzmann machines
Recently, many applications for Restricted Boltzmann Machines (RBMs) have been developed for a large variety of learning problems. However, RBMs are usually used as feature extrac...
Hugo Larochelle, Yoshua Bengio
ICML
2000
IEEE
16 years 7 months ago
Behavioral Cloning of Student Pilots with Modular Neural Networks
This paper investigates how behavioral cloning can be used to decrease training time for students learning to y on simulators. The challenges presented to each student must be tai...
Charles W. Anderson, Bruce A. Draper, David A. Pet...
ICALT
2005
IEEE
16 years 10 days ago
Authoring Educational Topic Maps: Can We Make It Easier?
In this paper we examine some problems related to capturing the structure and the topic name space of learning content in the context of Topic Map authoring. We demonstrate that t...
Darina Dicheva, Christo Dichev