... the task oftext classification in a Bayesian
learning framework. This approach assumes that the
text data was generated by a parametric model, and
uses training data to calculate Bayes- optimal ... length, their event model is no longer
strictly a multinomial.
A ComparisonofEventModelsforNaiveBayesText Classification
Andrew McCallum
‡†
mccallum@justresearch.com
Kamal Nigam
†
knigam@cs.cmu.edu
‡
Just ... Machine
Learning, 1997.
Pat Langley, Wayne Iba, and Kevin Thompson. An anal-
ysis of Bayesian classifiers. In AAAI-92, 1992.
Leah S. Larkey and W. Bruce Croft. Combining classifiers
in text categorization....
... e-mail: Acomparisonof
a Naive Bayesian and a memory-based approach.
In H. Zaragoza, P. Gallinari, and M. Rajman, edi-
tors, Proc. Workshop on Machine Learning and Tex-
tual Infbrmation Access, ... eventmodelsforNaiveBayestext clas-
sification. In
Proc. AAAI-98 Workshop on Learning
for Text Categorization,
pages 41-48. AAAI Press.
Dunja Mladeni6 and Marko Grobelnik. 1999. Feature
selection ... classify
e-mail. In
Papers from the AAAI Spring Symposium
on Machine Learning in Information Access,
pages
18-25, Stanford, CA. AAAI Press.
Thomas M. Cover and Joy A. Thomas. 1991.
Elements
of InfOrmation...
... Learning
Research, 9:1871–1874, June.
Jan Haji
ˇ
c, Massimiliano Ciaramita, Richard Johansson,
Daisuke Kawahara, Maria Ant
`
onia Mart
´
ı, Llu
´
ıs M
`
arquez,
Adam Meyers, Joakim Nivre, Sebastian Pad
´
o, ... dependency parsers).
3 Results
Table 3 tabulates efficiency and performance for all
parsers; UAS and LAS are unlabeled and labeled at-
tachment scores, respectively — the standard crite-
ria for evaluating ... reviewers, for valuable comments.
Supported in part by the National Natural Science Founda-
tion of China (NSFC) via grant 61133012, the National “863”
Major Project grant 2011AA0 1A2 07, and the National...
... original and resampled data sets.
One-way Analysis of Variance (ANOVA) failed to
reject the null hypothesis that NRMSE and
R
2
a
have dif-
ferent mean values for each model, meaning that the
difference ... formulation are available in [54]. ε-SVR
has previously been utilized for estimation of grasp
forces [22,25]. The Gaussian kernel was used as it
enables nonlinear mapping of samples and has a ... IEEE Transactions
on Neural Systems and Rehabilitation Engineering 10(1):30-37.
57. Hiraiwa A, Shimohara K, Tokunaga Y: EMG Pattern Analysis and
Classification by Neural Network. Systems, Man and...
... See
http://www.research.digital.com/SRC/juno-2.
[
10
]
JayaramanKrishnasamy, MarkJ.Jakiela, andDanielE.Whit-
ney. Mechanics of vibration-assisted entrapment with appli-
cation to design. In International Conference ... February 1971.
[
15
]
Balas K. Natarajan. Some paradigms for the automated de-
sign of parts feeders. International Journal of Robotics Re-
search, 8(6):98–109, December 1989. Also appeared in ... taking
the Cartesian product over all the parameter values. It also
allows us to specify equivalence classes of stable states, and
it then automatically categorizes the state (and hence, the
equivalence...
... 2007).
5
A Comparisonof High-Level Full-System Power Models
Suzanne Rivoire
Sonoma State University
Parthasarathy Ranganathan
Hewlett-Packard Labs
Christos Kozyrakis
Stanford University
Abstract
Dynamic ... a variety of
software workloads and hardware platforms.
The desirable properties ofa full-system model suitable for
this type of online use are as follows:
Accuracy: The model must be accurate ... we use a common infrastructure to generate
several high-level full-system power modelsfora wide range of
workloads and machines, and we compare the accuracy of these
models in each instance....
... dependency parser.
1 Introduction
A persistent goal of natural language processing
research has been the automated transformation
of natural language texts into representations that
unambiguously ...
training data is available.
6 Discussion
Annotated corpora of linguistic phenomena en-
able many new natural language processing ap-
plications and provide new means for tackling
difficult research ... International
Conference on Language Resources and Evaluation,
Granada, Spain.
Marcus, Mitchell P., Beatrice Santorini and Mary Ann
Marcinkiewicz. 1993. Building a Large Annotated
Corpus of...
... over this
subsample. The final table presents a multivariate measure of forecast accuracy,
namely the trace of the forecast error covariance matrix.
4.1 Overall forecast performance
4.1.1 GDP ... influence of time-varying parameters and a large information set
on forecast performance.
The TVAR model that uses the lag of inflation as the threshold variable consistently
delivers more accurate forecasts ... between the
forecasting performance of an AR(1) model and that ofa TVP-VAR (standard) (and
hence white cells on the right-hand side of Table C). Note also that allowing for
heteroscedastic shocks...
... (ITF). A direct
comparison reveals that all language
models are highly correlated; however,
the average ISF and ITF values are 5.5
and 10.4 higher than IDF. All language
models appeared to ...
comparisons among these the event spaces.
(4) Abstract versus full -text comparison
Language modelsof scientific articles often
consider only abstracts because they are easier to
obtain than full -text ...
0
5
10
15
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Global IDF
Average Local IDF
ACHRE4
ANCHAM
BICHAW
BIPRET
BOMAF6
CGDEFU
CMATEX
ESTHAG
IECRED
INOCAJ
JACSAT
JAFCAU
JCCHFF
JCISD8
JMCMAR
JNPRDF
JOCEAH
JPCAFH
JPCBFK
JPROBS
MAMOBX
MPOHBP
NALEFD
OPRDFK
ORLEF7
...
... overall. Cost
____________
15
Warrant officers are managed according to the Warrant Officer
Management Act, which was passed as part of the National Defense
Authorization Act for Fiscal Years ... The services share the
same basic pay table for officers, enlisted personnel, and warrant
officers. The basic pay table includes an amount for each pay grade
6
as
well as incremental longevity ... enough
effort in those performance areas that are measured and that matter for
positive evaluation necessary for promotion.
Many Elements of the Tournament System Are Important in the Military
There are...
... combined models.
Our empirical comparisonof BP and DD also com-
plements the theoretically-oriented comparison of
marginal- and margin-based variational approxima-
tions for parsing described by Martins ... in a previously circulated draft of this paper, for
two reasons: we evaluate only on sentences for which a parse
was returned instead of all parses, to enable direct comparison
with Clark and ... Hockenmaier and M. Steedman. 2002. Generative
models for statistical parsing with Combinatory Cat-
egorial Grammar. In Proc. of ACL.
J. Hockenmaier and M. Steedman. 2007. CCGbank:
A corpus of CCG...
... function f as a real valued func-
tion taking two arguments, a
event e
and a
context
c. The context c is an equivalence class of states un-
der which an action is taken, and the event e is an
equivalence ... having iden-
tical sublanguage domain and test data, and using
similar automata for analysis in the transfer system
and transduction in the transducer system. Another
justification is that ... 2.1 Monolingual Relational Models
We can characterize the language models used for
analysis and generation in the transfer system as
quantitative generative modelsof ordered depen-
dency...
... is based on Shannon’s entropy. It
is a statistical measurement of the capability ofa
feature to separate digit classes. If the information
measure ofa feature is high, it indicates that the ... for the use of neural network learning
techniques for this type of application and data set, and
insight about the appropriate design, use, and
parameterization of the network to achieve acceptable ... between a feature’s template and the
input image. A value of 0 indicates that a feature
template did not match the digit image; a value of 1
indicates a complete match; and values in between
these...
... now adopted AUC for
evaluating predictive ability of classifiers owing to the fact
that AUC is a better performance metric than accuracy
[31]. In this study, AUC was used as a value to compare
the ... BioMed Central
Page 1 of 8
(page number not for citation purposes)
Journal of Translational Medicine
Open Access
Research
A comparisonofclassification methods for predicting Chronic
Fatigue Syndrome ... SNPs for the naiveBayes classifier
with the wrapper-based approach (n = 8) was less than the
one for the naiveBayes classifier with the hybrid approach
(n = 12).
Discussion
We have compared...