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TSMC
2008
87views more  TSMC 2008»
13 years 4 months ago
The Problem of Test Latency in Machine Diagnosis
The impact of delayed sensor-alarm data upon a diagnostic inference engine appears not to be well appreciated. In this paper we illustrate the effect of sensor latency, and we pro...
Ozgur Erdinc, Craig Brideau, Peter Willett, Thia K...
TKDE
2008
122views more  TKDE 2008»
13 years 4 months ago
Protection of Database Security via Collaborative Inference Detection
Malicious users can exploit the correlation among data to infer sensitive information from a series of seemingly innocuous data accesses. Thus, we develop an inference violation d...
Yu Chen, Wesley W. Chu
JAIR
2007
159views more  JAIR 2007»
13 years 4 months ago
Combination Strategies for Semantic Role Labeling
This paper introduces and analyzes a battery of inference models for the problem of semantic role labeling: one based on constraint satisfaction, and several strategies that model...
Mihai Surdeanu, Lluís Màrquez, Xavie...
SYNTHESE
2008
92views more  SYNTHESE 2008»
13 years 4 months ago
Explanatory warrant for scientific realism
Nancy Cartwright relies upon an inference pattern known as inference to the best causal explanation (IBCE) to support a limited form of entity realism, according to which we are wa...
Robert Pierson, Richard Reiner
ML
2008
ACM
13 years 4 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
ENTCS
2007
96views more  ENTCS 2007»
13 years 4 months ago
Deduction, Strategies, and Rewriting
Automated deduction methods should be specified not procedurally, but declaratively, as inference systems which are proved correct regardless of implementation details. Then, di...
Steven Eker, Narciso Martí-Oliet, Jos&eacut...
BMCBI
2007
153views more  BMCBI 2007»
13 years 4 months ago
A new pairwise kernel for biological network inference with support vector machines
Background: Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-pro...
Jean-Philippe Vert, Jian Qiu, William Stafford Nob...
IJDMMM
2008
124views more  IJDMMM 2008»
13 years 4 months ago
Completing missing views for multiple sources of web media
: Combining multiple data sources, each with its own features, to achieve optimal inference has received a lot of attention in recent years. In inference from multiple data sources...
Shankara B. Subramanya, Zheshen Wang, Baoxin Li, H...
IJAR
2008
95views more  IJAR 2008»
13 years 4 months ago
Complexity results for enhanced qualitative probabilistic networks
While quantitative probabilistic networks (QPNs) allow the expert to state influences between nodes in the network as influence signs, rather than conditional probabilities, infer...
Johan Kwisthout, Gerard Tel
BMCBI
2008
130views more  BMCBI 2008»
13 years 4 months ago
Function approximation approach to the inference of reduced NGnet models of genetic networks
Background: The inference of a genetic network is a problem in which mutual interactions among genes are deduced using time-series of gene expression patterns. While a number of m...
Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Hi...