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Hits 141 – 160 of 411

141
Learning to Recognize Features of Valid Textual Entailments
In: DTIC (2006)
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142
A Methodology to Predict Specific Communication Themes from Overall Communication Volume for Individuals and Teams
In: DTIC (2006)
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143
Integrating Ontologies into Multiagent Systems Engineering
In: DTIC (2006)
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144
Toward an Interagency Language Roundtable Based Assessment of Speech-to-Speech Translation Capabilities
In: DTIC (2006)
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145
Dealing with Out of Domain Questions in Virtual Characters
In: DTIC (2006)
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146
Experimental Facility for Measuring the Impact of Environmental Noise and Speaker Variation on Speech-to-Speech Translation Devices
In: DTIC (2006)
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147
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
In: DTIC (2006)
Abstract: This paper multi-conditional learning (MCL) a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional probability of "label given input" with a generative probability of "input given label" the later acts as a surprisingly effective regularizer. When applied to models with latent variables, MCL combines the structure-discovery capabilities of generative topic models, such as latent Dirichlet allocation and the exponential family harmonium, with the accuracy and robustness of discriminative classifiers, such as logistic regression and conditional random fields. We present results on several standard text data sets showing significant reductions in classification error due to MCL regularization, and substantial gains in precision and recall due to the latent structure discovered under MCL. ; Presented at the National Conference on Artificial Intelligence (21st), held in Boston, MA on 16-20 Jul 2006. Pub. in the Proceedings of the National Conference on Artificial Intelligence, 2006. Sponsored in part by National Science Foundation Grant IIS-0326249 and Department of Interior Contract No. NBCHD030010. The original document contains color images.
Keyword: *ARTIFICIAL INTELLIGENCE; *LEARNING; *MARKOV PROCESSES; *MATHEMATICAL MODELS; *MULTICONDITIONAL LEARNING; BINARY PROCESSORS; BINARY WORDS; Cybernetics; HIDDEN CONTINUOUS VARIABLES; Linguistics; MCL(MULTI-CONDITIONAL LEARNING); MRF(MARKOV RANDOM FIELD MODELS); NATURAL LANGUAGE; NATURAL LANGUAGE PROCESSING; Operations Research; PROBABILITY; RANDOM VARIABLES; Statistics and Probability; SYMPOSIA
URL: http://www.dtic.mil/docs/citations/ADA449621
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA449621
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148
Edge-Splitting in a Cumulative Multimodal System, for a No-Wait Temporal Threshold on Information Fusion, Combined with an Under-Specified Display
In: DTIC (2006)
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149
On Speaker-Specific Prosodic Models for Automatic Dialog Act Segmentation of Multi-Party Meetings
In: DTIC (2006)
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150
Using Linguistic Analysis to Identify High Performing Teams
In: DTIC (2006)
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151
Content Analysis of HUMINT Reports
In: DTIC (2006)
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152
QACTIS Enhancements in TREC QA-2006
In: DTIC (2006)
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153
Text Analysis Using Automated Language Translators
In: DTIC (2006)
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154
The 2005 AFRL/HEC One-Speaker Detection Systems
In: DTIC (2006)
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155
Enhancing Mental Readiness in Military Personnel
In: DTIC (2006)
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156
Command of Coalition Operations in a Multicultural Environment: A Canadian Naval Niche? The Case Study of Operation Apollo
In: DTIC (2006)
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157
Branching Storylines in Virtual Reality Environments for Leadership Development
In: DTIC (2006)
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158
The Mixer and Transcript Reading Corpora: Resources for Multilingual, Crosschannel Speaker Recognition Research
In: DTIC (2006)
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159
Combining Evidence from Homologous Datasets
In: DTIC (2006)
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160
The European Server for Ionospheric Specification and Forecasting: Final Results from DIAS Project
In: DTIC (2006)
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