Building trust with users is crucial in a wide range of applications, such as advice-giving or financial transactions, and some minimal degree of trust is required in all applicat...
In this work we show that verbs reliably represent texts when machine learning algorithms are used to learn opinions. We identify semantic verb categories that capture essential pr...
We present a system capable of visually detecting pointing gestures and estimating the 3D pointing direction in real-time. We use Hidden Markov Models (HMMs) trained on different ...
In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
Betty Yee Man Cheng, Jaime G. Carbonell, Judith Kl...
Cognitive modeling with neural networks unrealistically ignores the role of knowledge in learning by starting from random weights. It is likely that effective use of knowledge by ...