| 2009 |
|---|
| 10 | EE | Daniel Lowd,
Nicholas Kushmerick:
Using salience to segment desktop activity into projects.
IUI 2009: 463-468 |
| 2008 |
|---|
| 9 | EE | Pedro Domingos,
Stanley Kok,
Daniel Lowd,
Hoifung Poon,
Matthew Richardson,
Parag Singla:
Markov Logic.
Probabilistic Inductive Logic Programming 2008: 92-117 |
| 8 | EE | Pedro Domingos,
Stanley Kok,
Daniel Lowd,
Hoifung Poon,
Matthew Richardson,
Parag Singla,
Marc Sumner,
Jue Wang:
Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition.
SSPR/SPR 2008: 3 |
| 7 | EE | Daniel Lowd,
Pedro Domingos:
Learning Arithmetic Circuits.
UAI 2008: 383-392 |
| 6 | EE | Pedro Domingos,
Daniel Lowd,
Stanley Kok,
Hoifung Poon,
Matthew Richardson,
Parag Singla:
Just Add Weights: Markov Logic for the Semantic Web.
URSW (LNCS Vol.) 2008: 1-25 |
| 2007 |
|---|
| 5 | EE | Daniel Lowd,
Pedro Domingos:
Recursive Random Fields.
IJCAI 2007: 950-955 |
| 4 | EE | Daniel Lowd,
Pedro Domingos:
Efficient Weight Learning for Markov Logic Networks.
PKDD 2007: 200-211 |
| 2005 |
|---|
| 3 | EE | Daniel Lowd,
Christopher Meek:
Good Word Attacks on Statistical Spam Filters.
CEAS 2005 |
| 2 | EE | Daniel Lowd,
Pedro Domingos:
Naive Bayes models for probability estimation.
ICML 2005: 529-536 |
| 1 | EE | Daniel Lowd,
Christopher Meek:
Adversarial learning.
KDD 2005: 641-647 |
