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ICDM
2010
IEEE
197views Data Mining» more  ICDM 2010»
13 years 5 months ago
D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification
: D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-Defined Classification Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi HP Labo...
Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yu...
PLILP
1993
Springer
13 years 12 months ago
Narrowing Approximations as an Optimization for Equational Logic Programs
Abstract. Solving equations in equational theories is a relevant programming paradigm which integrates logic and equational programming into one unified framework. Efficient metho...
María Alpuente, Moreno Falaschi, Marí...
KR
2000
Springer
13 years 11 months ago
Significant Inferences : Preliminary Report
We explore the possibility of a logic where a conclusion substantially improves over its premise(s): Specifically, we intend to rule out inference steps such that the premise conv...
Philippe Besnard, Torsten Schaub
COR
2010
121views more  COR 2010»
13 years 8 months ago
Parallel machine scheduling with precedence constraints and setup times
This paper presents different methods for solving parallel machine scheduling problems with precedence constraints and setup times between the jobs. Limited discrepancy search met...
Bernat Gacias, Christian Artigues, Pierre Lopez
ECSQARU
1995
Springer
13 years 11 months ago
Parametric Structure of Probabilities in Bayesian Networks
The paper presents a method for uncertainty propagation in Bayesian networks in symbolic, as opposed to numeric, form. The algebraic structure of probabilities is characterized. Th...
Enrique Castillo, José Manuel Gutiér...