The endoplasmic reticulum (ER) is the cell organelle where secretory and membrane proteins
are synthesized and folded. Correctly folded proteins exit the ER and are transported to …

We have isolated a novel secreted molecule, Wise, by a functional screen for activities that
alter the anteroposterior character of neuralised Xenopus animal caps. Wise encodes a …

Unifying first-order logic and probability is a long-standing goal of AI, and in recent years
many representations combining aspects of the two have been proposed. However, inference …

The chief difficulty in object recognition is that objects' classes are obscured by a large number
of extraneous sources of variability, such as pose and part deformation. These sources of …

Stress in the endoplasmic reticulum (ER stress) and its cellular response, the unfolded protein
response (UPR), are implicated in a wide variety of diseases, but its significance in many …

To build a data-integration system, the application designer must specify a mediated
schema and supply the descriptions of data sources. A source description contains a source …

Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us
to handle the complexity and uncertainty of real-world problems in a single consistent …

The error rate of decision-tree and other classication learners can often be much reduced by
bagging: learning multiple models from bootstrap samples of the database, and combining …

In many domains, data now arrives faster than we are able to mine it. To avoid wasting this
data, we must switch from the traditional" one-shot" data mining approach to systems that are …

Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks.
Current MLN structure learners can only learn short clauses (4-5 literals) due to extreme …