Output probabilities
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Experts
Publications (10)

1Latent Mixture of Discriminative Experts for Multimodal Prediction Modelingbetween experts. We also present an analysis of the output probabilities from the LMDE model and individual experts. INDIVIDUAL...

2Learning to Model DomainSpecific Utterance Sequences for Extractive Summarization of Contact Center Dialogues2010  Ryuichiro Higashinaka,Yasuhiro Minami,Hitoshi Nishikawa,Kohji Dohsaka,Toyomi Meguro,Satoshi Takahashi,Genichiro Kikuiproduce one concatenated HMM (Mconcat). Here, the output probabilities of the copies of M0 are averaged over K when all models...

3A Stochastic Japanese Morphological Analyzer Using a ForwardDP BackwardA* NBest Search Algorithm1994  Masaaki Nagatatrigram probabilities P(t i l t i_2,t i_ l ) and word output probabilities for given part of speech P(wl\]ll): r(w,:r) = \]~...

4CrossLingual Identification of Ambiguous Discourse Connectives for ResourcePoor Languageprocess between English and Chinese. c1 and c2 will output probabilities of every testing instance for whether it will serve...

5Efficient Support Vector Classifiers for Named Entity Recognition2002  Hideki Isozaki,Hideto Kazawais solved by the Viterbi search. Since SVMs do not output probabilities, we use the SVM+sigmoid method (Platt, 2000). That...

6Speech Recognition And The Frequency Of Recently Used Words: A Modified Markov Model For Natural Language1988  Roland Kuhnsoon as there are 5 words in a cache, it begins to output probabilities which correspond to the relative proportions of words...

7Word Completion A First Step Toward TargetText Mediated IMTstate for model 2, eg p((froms, 6} I') = a(516). The output probabilities (vertical arrows) depend on the words involved, eg...

8Controlling Listeningoriented Dialogue using Partially Observable Markov Decision ProcessesPOMDP (Fig. 2), while maintaining the transition and output probabilities. We convert d to r as described above. The system...

9ContextBased Spelling Correction for Japanese OCR1996  Masaaki Nagataprobabilities P(t i \ ]t i  '2,  i  l ) and word output probabilities for given part of speech P(w i l t l ) , 71 ...

10Adjective Deletion for Linguistic Steganography and Secret Sharing2012  ChingYun Chang,Stephen Clarkestimate feature in LIBSVM and train the SVM model to output probabilities so users can decide the security level by varying...