We present an intuitive explanation for the limited effectiveness of front-to-end bidirectional heuristic search, supported with extensive evidence from many commonly-studied doma...
Ensemble learning is among the state-of-the-art learning techniques, which trains and combines many base learners. Ensemble pruning removes some of the base learners of an ensembl...
We consider the problem of, given a probabilistic model on a set of random variables, how to add a new variable that depends on the other variables, without changing the original ...
We study strong equilibria in symmetric capacitated costsharing games. In these games, a graph with designated source s and sink t is given, and each edge is associated with some ...
Commenting is a popular facility provided by news sites. Analyzing such user-generated content has recently attracted research interest. However, in multilingual societies such as...
Goutham Tholpadi, Mrinal Kanti Das, Trapit Bansal,...
The problem of planning or discrete control for timed system has earlier been solved with various constraint-based solution methods, including Constraint Programming, SAT solvers,...
Link prediction functions are important tools that are used to predict the evolution of a network, to locate hidden or surprising links, and to recommend new connections that shou...
We propose a novel representation for coalitional games with externalities, called Partition Decision Trees. This representation is based on rooted directed trees, where non-leaf ...
Oskar Skibski, Tomasz P. Michalak, Yuko Sakurai, M...
In recent work, Langley et al. (2014) introduced UMBRA, a system for plan and dialogue understanding. The program applies a form of abductive inference to generate explanations in...
We consider the problem of identifying discrepancies between training and test data which are responsible for the reduced performance of a classification system. Intended for use...