Product Community Question Answering (PCQA) provides useful information about products and their features (aspects) that may not be well addressed by product descriptions and reviews. We observe that a product’s compatibility issues with other products are frequently discussed in PCQA and such issues are more frequently addressed in accessories, i.e., via a yes/no question “Does this mouse work...

It has been hypothesized that one of the functions of the hippocampus is to enable the learning of relationships between different stimuli experienced in the environment. These relationships might be spatial ("the bathroom is about 5m down the hall from the bedroom") or temporal ("the coffee is ready about 3 min after the button was pressed"). Critically, these spatial and temporal relationship...

Personal agents are proactive and adaptable intelligent agents that meet the demands of individuals. This kind of agents develops a user's profile and, basing on that profile, performs tasks instead of the user. The usage of personal agents can be a high quality solution for solving the problem of heterogeneity of information systems users and for avoiding information overload, and hence offers...

E-learning students’ fora were studied both manually and by computer. Physically distant students were asked to collaborate to write a program in small groups. Tutors evaluated the records of their discussions to assess the collaborative process and its phases. Discussions were also studied as a collective discourse directed by a goal. Computer parsing based on a discourse model was achieved. R...

Embedded systems have become common place in industry and domestic electronics, resulting in the need for educational institutions to teach advanced embedded systems design. Experience in teaching engineering subjects has shown that a complementary approach combining theoretical and practical exercises is vital for effective learning. Increasingly, teaching institutions are offering remote acce...

Adverse drug events (ADEs) have been recognized as a significant healthcare problem worldwide. Prior studies have shown that health social media can be used to generate medical hypotheses and identify adverse drug events. Most studies adopted supervised learning approach for ADE detection in health social media, which requires human annotated data and is not scalable to large datasets. In this ...

Learning is collaborative process where teacher/ tutor/ instructor and student work together. Loosing face to face audiovisual communication in electronic and distant learning can be replaced by a video conference. Another possibility is to use embodied conversational agents with the ability to synthesize human speech and simulate facial expressions (talking head). This paper summarizes the sta...

We present a novel hierarchical and distributed model for learning invariant spatiotemporal features from video. Our approach builds on previous deep learning methods and uses the Convolutional Restricted Boltzmann machine (CRBM) as a building block. Our model, called the Space-Time Deep Belief Network (STDBN), aggregates over both space and time in an alternating way so that higher layers capt...