Probabilistic Event Logic for Interval-Based Event Recognition pot
Probabilistic Event Logic for Interval-Based Event Recognition pot
... conducting a probabilistic in-
ference over weighted logic formulas.
3. Syntax and Semantics of PEL
We first review pure event logic, and then extend to PEL.
3.1. Event Logic
Event logic (EL) was ... the
primitives events. Table 7 shows that we outperform the
state of the art [13].
8. Conclusion
We have formulated probabilistic event logic (PEL),
which uses weighted event...
Báo cáo khoa học: C fi G base mutations in the CArG box of c-fos serum response element alter its bending flexibility Consequences for core-SRF recognition potx
... the BI con-
formers [69].
Basis of SRE
fos
recognition
A previous working model of the core-SRF ⁄ DNA
interaction suggested that core-SRF forms a stable
dimer in solution under physiological conditions ... [7]. The specific recognition is in
need of a particular DNA dynamic status of the
bent form allowing the core-SRF to lock this tran-
sient conformer into a specific stable bent form
[23,...
BEST MANAGEMENT PRACTICES GUIDEBOOK FOR SPECIAL EVENT-GENERATED WASTE IN RURAL COMMUNITIES pot
... dimensional lumber used for displays and booths are
commonly found in the waste at the end of events. These materials can be diverted for reuse or
chipped for mulch, bio-mass fuel, or for composting. ... Plans developed for the six participant events include cost and saving information. As
a percent of total spending on an event, waste disposal tends to be small. As a result, th...
A Comparison of Event Models for Naive Bayes Text Classi cation potx
... the “events” and the
document to be the collection of word events. We call
this the multinomial event model. This approach is
more traditional in statistical language modeling for
speech recognition, ... expansion
of individual terms for this equation are dependent on
the event model used. Use Equations 2 and 3 for the
multi-variate Bernoulli event model. Use Equations 5
and 6 f...
Audio-based Event Detection for Sports Video pot
... points for each event, which aided this process.
Using this information, a window from the start of the event to the end of the
crowd response was created, for each true event.
To measure performance, ... key events. So,
given these small numbers, 75% of the samples were used for training and 25%
for testing and the performance of each classifier is presented in Table 3.1.
Table 2...
Integrated Data for Events Analysis (IDEA): An Event Typology for Automated Events Data Development* pot
... these earlier
events frameworks. By using a four-level
event hierarchy, IDEA can include new event
forms as specifications of more general event
Doug Bond et al. INTEGRATED D
ATA FOR
EVENTS ANALYSIS
735
68S ... the Integrated Data for Event Analysis
(IDEA) project. IDEA provides a comprehensive events framework for the analysis of international
interactions by supplementing the...
Guidance for Industry - How to Complete the Vaccine Adverse Event Reporting System Form (VAERS-1) potx
... administered for some of the information (such as manufacturer, lot number or laboratory data.)
Refer to the Reportable Events Table (RET) for events mandated for reporting by law. Reporting for other ... vaccination before event.
11: Adverse event onset - Provide date and time of onset of event symptoms following
vaccination. If more than one adverse event occurred, provide...
Sparse Reconstruction Cost for Abnormal Event Detection pot
... computation time is
0.8s/frame for GAE, 3.8s/frame for UCSD dataset, and
4.6s/frame for the Subway dataset.
5. Conclusion
We propose a new criterion for abnormal event detec-
tion, namely the ... con-
tains one abnormal event. Three different levels of mea-
surements are applied for evaluation, which are Pixel-level,
Frame-level and Event- level measurements.
4.1. Global Abnorma...
Báo cáo khoa học: "A Comparison of Event Models for Naive Bayes Anti-Spam E-Mail Filtering" potx
... statistical event models: a mul-
ti-variate Bernoulli model and a multi-
nomial model. We introduce a family of
feature ranking functions for feature se-
lection in the multinomial event model
that ... and are not used
for classification.
Despite the fact that the multi-variate Bernoulli
model captures less information about a document
(compared to the multinomial model), it performs...
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