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» Compositional Models for Reinforcement Learning
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IROS
2009
IEEE
142views Robotics» more  IROS 2009»
14 years 2 months ago
Phoneme acquisition model based on vowel imitation using Recurrent Neural Network
- A phoneme-acquisition system was developed using a computational model that explains the developmental process of human infants in the early period of acquiring language. There a...
Hisashi Kanda, Tetsuya Ogata, Toru Takahashi, Kazu...
NIPS
2008
13 years 9 months ago
Psychiatry: Insights into depression through normative decision-making models
Decision making lies at the very heart of many psychiatric diseases. It is also a central theoretical concern in a wide variety of fields and has undergone detailed, in-depth, ana...
Quentin J. M. Huys, Joshua T. Vogelstein, Peter Da...
SASO
2008
IEEE
14 years 2 months ago
Bottom-Up Self-Organization of Unpredictable Demand and Supply under Decentralized Power Management
In the DEZENT1 project we had established a distributed base model for negotiating electric power from widely distributed (renewable) power sources on multiple levels in successio...
Horst F. Wedde, Sebastian Lehnhoff, Christian Reht...
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
14 years 1 months ago
Online Affect Detection and Adaptation in Robot Assisted Rehabilitation for Children with Autism
–This paper presents a novel affect-sensitive human-robot interaction framework for rehabilitation of children with autism spectrum disorder (ASD) where the robot can detect the ...
Changchun Liu, Karla Conn, Nilanjan Sarkar, Wendy ...
EMO
2005
Springer
107views Optimization» more  EMO 2005»
14 years 1 months ago
Multiobjective Water Pinch Analysis of the Cuernavaca City Water Distribution Network
Water systems often allow efficient water uses via water reuse and/or recirculation. Defining the network layout connecting water-using processes is a complex problem which involv...
Carlos E. Mariano-Romero, Víctor Alcocer-Ya...