hey generalize these factors to the abstract concepts of ability, integrity, and benevolence. This model does not use probabilistic decision theory. Other SCM trust factors have be...
Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...
Tobias Larsen, David S. Leslie, Edmund J. Collins,...
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
In this paper, we introduce a system that synthesizes the emotional audio-visual speech for a 3-D talking agent by adopting the PAD (Pleasure-Arousal-Dominance) emotional model. A ...
Background: It has been suggested previously that genome and proteome sequences show characteristics typical of natural-language texts such as “signature-style” word usage ind...