Sciweavers

17 search results - page 2 / 4
» Maximum Entropy for Collaborative Filtering
Sort
View
AICOM
2008
146views more  AICOM 2008»
13 years 5 months ago
Domain action classification using a maximum entropy model in a schedule management domain
Since speaker's intentions can be represented into domain actions (pairs of domain-independent speech acts and domain-dependent concept sequences) in goal-oriented dialogues,...
Hyunjung Lee, Harksoo Kim, Jungyun Seo
ICPR
2004
IEEE
14 years 6 months ago
To FRAME or not to FRAME in Probabilistic Texture Modelling?
The maximum entropy principle is a cornerstone of FRAME (Filters, RAndom fields, and Maximum Entropy) model considered at times as a first-ever step towards a universal theory of ...
Georgy L. Gimel'farb, Luc J. Van Gool, Alexey Zale...
WWW
2008
ACM
14 years 6 months ago
Collaborative filtering on skewed datasets
Many real life datasets have skewed distributions of events when the probability of observing few events far exceeds the others. In this paper, we observed that in skewed datasets...
Somnath Banerjee, Krishnan Ramanathan
ICIP
2003
IEEE
14 years 7 months ago
Accurate real-time object tracking with linear prediction method
This paper presents an efticient technique for real-time tracking of a single moving object in terrestrial scenes using a stationary camera. The tracking algorithm is based on the...
Phaik Yong Yeoh, Syed A. R. Abu-Bakar
ML
2008
ACM
146views Machine Learning» more  ML 2008»
13 years 5 months ago
Improving maximum margin matrix factorization
Abstract. Collaborative filtering is a popular method for personalizing product recommendations. Maximum Margin Matrix Factorization (MMMF) has been proposed as one successful lear...
Markus Weimer, Alexandros Karatzoglou, Alex J. Smo...