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105
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ICMCS
2009
IEEE
153views Multimedia» more  ICMCS 2009»
14 years 10 months ago
Advertising based on users' photos
In this paper, we tackle the problem of learning a user's interest from his photo collections and suggesting relevant ads. We address two key challenges in this work: 1) unde...
Xin-Jing Wang, Mo Yu, Lei Zhang 0001, Wei-Ying Ma
KDD
2006
ACM
191views Data Mining» more  KDD 2006»
16 years 1 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare
TMM
2010
141views Management» more  TMM 2010»
14 years 7 months ago
Speech Emotion Analysis: Exploring the Role of Context
Automated analysis of human affective behavior has attracted increasing attention in recent years. With the research shift toward spontaneous behavior, many challenges have come to...
Ashish Tawari, Mohan M. Trivedi
98
Voted
SIGECOM
2010
ACM
149views ECommerce» more  SIGECOM 2010»
15 years 5 months ago
A new understanding of prediction markets via no-regret learning
We explore the striking mathematical connections that exist between market scoring rules, cost function based prediction markets, and no-regret learning. We first show that any c...
Yiling Chen, Jennifer Wortman Vaughan
ESANN
2007
15 years 2 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann