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ICTAI
2009
IEEE
15 years 10 months ago
EBLearn: Open-Source Energy-Based Learning in C++
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
Pierre Sermanet, Koray Kavukcuoglu, Yann LeCun
124
Voted
IROS
2009
IEEE
129views Robotics» more  IROS 2009»
15 years 10 months ago
Lane boundary and curb estimation with lateral uncertainties
— This paper describes an algorithm for estimating lane boundaries and curbs from a moving vehicle using noisy observations and a probabilistic model of curvature. The primary co...
Albert S. Huang, Seth J. Teller
121
Voted
AI
2009
Springer
15 years 10 months ago
Cost-Based Sampling of Individual Instances
In many practical domains, misclassification costs can differ greatly and may be represented by class ratios, however, most learning algorithms struggle with skewed class distrib...
William Klement, Peter A. Flach, Nathalie Japkowic...
160
Voted
APN
2009
Springer
15 years 10 months ago
Monotonicity in Service Orchestrations
Web Service orchestrations are compositions of different Web Services to form a new service. The services called during the orchestration guarantee a given Quality of Service (QoS...
Anne Bouillard, Sidney Rosario, Albert Benveniste,...
129
Voted
CIKM
2009
Springer
15 years 10 months ago
Joint sentiment/topic model for sentiment analysis
Sentiment analysis or opinion mining aims to use automated tools to detect subjective information such as opinions, attitudes, and feelings expressed in text. This paper proposes ...
Chenghua Lin, Yulan He