Clustering and prediction of sets of curves is an important problem in many areas of science and engineering. It is often the case that curves tend to be misaligned from each othe...
We present a sound and complete calculus for causal relevance that uses Pearl's functional causal models as semantics. The calculus consists of axioms and rules of inference ...
A corpus-based knowledge representation system consists of a large collection of disparate knowledge fragments or schemas, and a rich set of statistics computed over the corpus. W...
In this work, we present a new semantic language modeling approach to model news stories in the Topic Detection and Tracking (TDT) task. In the new approach, we build a unigram la...
Wedescribe somenewpreprocessing techniques that enable faster domain-independentplanning. Thefirst set of techniquesis aimedat inferring state constraints from the structure of pl...