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» Second Order Approximations for Probability Models
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UAI
1996
13 years 8 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
TCS
2011
13 years 2 months ago
Sorting and selection on dynamic data
We formulate and study a new computational model for dynamic data. In this model, the data changes gradually and the goal of an algorithm is to compute the solution to some proble...
Aris Anagnostopoulos, Ravi Kumar, Mohammad Mahdian...
ATAL
2010
Springer
13 years 8 months ago
Scalable mechanism design for the procurement of services with uncertain durations
In this paper, we study a service procurement problem with uncertainty as to whether service providers are capable of completing a given task within a specified deadline. This typ...
Enrico Gerding, Sebastian Stein, Kate Larson, Alex...
ICPR
2000
IEEE
14 years 8 months ago
Content-Based Watermarking Model
In this paper, we propose a new general additive watermarking model based on the content of digital images, called as CBWM (Content-Based Watermarking Model). It provides a common...
Ruizhen Liu, Tieniu Tan
KDD
2006
ACM
201views Data Mining» more  KDD 2006»
14 years 7 months ago
Clustering based large margin classification: a scalable approach using SOCP formulation
This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...
J. Saketha Nath, Chiranjib Bhattacharyya, M. Naras...