This paper explores the cognitive limits of estimation in the context of software cost estimation. Two heuristics, representativeness and anchoring, motivate two experiments invol...
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina...
Methods for directly estimating the ratio of two probability density functions without going through density estimation have been actively explored recently since they can be used...
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Given an accurate 3-D shape model of a scene, the motion parameters of a moving camera can be recovered with high accuracy using model-based motion estimation techniques. Shape er...