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ICAI
2003
13 years 9 months ago
A Quantitative Model of Capabilities in Multi-Agent Systems
Reasoning about capabilities in multi-agent systems is crucial for many applications. There are two aspects of reasoning about the capabilities of an agent to achieve its goals. O...
Linli He, Thomas R. Ioerger

Publication
179views
13 years 12 months ago
AutoSelect: What You Want Is What You Get Real-Time Processing of Visual Attention and Affect
While objects of our focus of attention (“where we are looking at”) and accompanying affective responses to those objects is part of our daily experience, little research exis...
Nikolaus Bee, Helmut Prendinger, Arturo Nakasone, ...
ICANN
2001
Springer
14 years 11 days ago
Market-Based Reinforcement Learning in Partially Observable Worlds
Unlike traditional reinforcement learning (RL), market-based RL is in principle applicable to worlds described by partially observable Markov Decision Processes (POMDPs), where an ...
Ivo Kwee, Marcus Hutter, Jürgen Schmidhuber
ICASSP
2011
IEEE
12 years 11 months ago
Error-entropy based channel state estimation of spatially correlated MIMO-OFDM
—This paper deals with optimized training sequences to estimate multiple-input multiple-output orthogonal frequencydivision multiplexing (MIMO-OFDM) channel states in the presenc...
Hoang Duong Tuan, Ha Hoang Kha, Ha H. Nguyen
ICASSP
2011
IEEE
12 years 11 months ago
Increasing discriminative capability on MAP-based mapping function estimation for acoustic model adaptation
In this study, we propose increasing discriminative power on the maximum a posteriori (MAP)-based mapping function estimation for acoustic model adaptation. Based on the effective...
Yu Tsao, Ryosuke Isotani, Hisashi Kawai, Satoshi N...