Recent scaling up of POMDP solvers towards realistic applications is largely due to point-based methods such as PBVI, Perseus, and HSVI, which quickly converge to an approximate so...
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Due to the information growth, distributed environments are offered as a feasible and scalable solution where Peerto-Peer networks have become more relevant. They bring many advan...
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
Abstract. The libre software development model has shown how combining collective intelligence can lead to revolutionary methods that underpin major software advancements. This pap...