We consider a generalization of the shortest-path problem: given an alphabet , a graph G whose edges are weighted and -labeled, and a regular language L , the L-constrained shortes...
Christopher L. Barrett, Keith R. Bisset, Martin Ho...
We introduce a new type of graphical model called a `cumulative distribution network' (CDN), which expresses a joint cumulative distribution as a product of local functions. ...
This paper proposes the use of uncertainty reduction in machine learning methods such as co-training and bilingual bootstrapping, which are referred to, in a general term, as ‘c...
The paper presents a specialised Partial Least Squares (PLS) algorithm for on-line calibration monitoring. At first, the basic scheme and philosophy of PEANO (Process Evaluation a...
We consider the problem of structured classification, where the task is to predict a label y from an input x, and y has meaningful internal structure. Our framework includes super...
Peter L. Bartlett, Michael Collins, Benjamin Taska...