The present paper introduces a new model for teaching randomized learners. Our new model, though based on the classical teaching dimension model, allows to study the influence of...
Online learning calls for instant assessment and feedback. YanFa is a system developed to score online EnglishChinese translation exercises with intelligent feedback for Chinese n...
In this paper we attempt to further demonstrate connections between information theory and control, in a networked setting. Specifically, we consider the communication problem of b...
With an eye towards design of human-in-the-loop systems, we investigate human decision making in a social context for tasks that require the human to make repeated choices among fi...
Activity videos are widespread on the Internet but current video search is limited to text tags due to limitations in recognition systems. One of the main reasons for this limitati...
Antony Lam, Amit K. Roy Chowdhury, Christian R. Sh...
We demonstrate that the sum-rate capacity of a memoryless Gaussian network at high signal-to-signal ratio (SNR) can be asymptotically doubled when feedback is available. To demonst...
Research on relevance feedback (RFB) in information retrieval (IR) has given mixed results. Success in RFB seems to depend on the searcher's willingness to provide feedback a...
In a multiuser system, independent time-varying channels among different users can be exploited to provide multiuser diversity (MUD) gain and increase the system throughput. For th...
Multimodal interaction is becoming common in many kinds of devices, particularly mobile phones. If care is not taken in design and implementation, there may be latencies in the ti...
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...