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Jump to navigationJump to search- Jaro 1995 Probabilistic linkage of large public health data files
- Jason S Kessler icwsm09
- Jasonkjohnson noyear orbit product representation and correction of gaussian belief propagation
- Jazz musicians network
- Jensen-Shannon divergence
- Jiao 2006 semi supervised crfs for improved sequence segmentations and labeling
- Jiao et al COLING 2006
- Jin et al, 2009
- Johnson 2006 advances in neural information processing systems 18
- Johnson 2006 review by william
- JointDistCommands.m
- Joint Inference in Information Extraction
- Joint topic and perspective model, lin 2008
- Joyce & Kraut, JCMC 2006
- Judd and Kearns, EC 2008
- Junyang Ng
- Jure et al, KDD 2009
- Jure kdd09
- Jurgens and Lu ICWSM 2012
- K-Nearest Neighbor
- K-anonymity
- K-exposed
- K-means
- K. Seymore et al, AAAI-99
- KBP at TAC
- KEGG/PATHWAY database
- KL Divergence
- KNN
- Kamps LREC 2004
- Karate network
- Kashoob, Caverlee and Ding ICWSM 2009
- Katz
- Kearns NAS 2006
- KeisukeKamataki project abstract
- KeisukeKamataki writeup of Banko 2007
- KeisukeKamataki writeup of Bellare 2009
- KeisukeKamataki writeup of Borkar et al 2001
- KeisukeKamataki writeup of Borthwick et al.
- KeisukeKamataki writeup of Brin 1999
- KeisukeKamataki writeup of Bunescu 2005
- KeisukeKamataki writeup of Bunescu 2006
- KeisukeKamataki writeup of Bunescu 2007
- KeisukeKamataki writeup of Cohen 2003
- KeisukeKamataki writeup of Cohen soft info 2000
- KeisukeKamataki writeup of Cohen whirl 2000
- KeisukeKamataki writeup of Cohn 2005
- KeisukeKamataki writeup of Collins 2002
- KeisukeKamataki writeup of Etzioni 2004
- KeisukeKamataki writeup of Jansche and Abney
- KeisukeKamataki writeup of Klein and Manning 2002
- KeisukeKamataki writeup of Krishnan 2006
- KeisukeKamataki writeup of McCallum 2000
- KeisukeKamataki writeup of Poon 2007
- KeisukeKamataki writeup of Sutton 2004
- KeisukeKamataki writeup of Wang 2007
- KeisukeKamataki writeup of Wang 2008
- KeisukeKamataki writeup of Wang 2009
- KeisukeKamataki writeup of writeup of Cohen 2005
- KeisukeKamataki writeup of writeup of Sha and Pereira 2003
- Kelkar et al., ICWSM2007
- Kelvin Law
- Kernel Conditional Random Fields: Representation and Clique Selection, Lafferty, Zhu, and Liu, 2004
- Kernel Dependency Estimation, Weston, Chapelle, Elisseeff, Schoelkopf, and Vapnik, 2003
- Kessler et al. 2009
- Key signing network
- Khalid El-Arini et al Turning Down the Noise in the Blogosphere
- Kiduk et al. ICWSM 2007
- Kim et al. 2003
- Kim et al 2007
- Klein 2002 conditional structure versus conditional estimation in nlp models
- Klein 2002 conditional structure versus conditional estimation in nlp models write up
- Klein Royal-Society1952
- Klein et al, ACL 2002
- Klein et al, CONLL 2003
- Knuth, CACM 1984
- Koehn et al, ACL 2003
- Kok 2008 extracting semantic networks from text via relational clustering
- Koller AAAI 2002
- Konstas et al. SIGIR 2009
- Koo 2007 structured prediction models via the matrix tree theorem
- Koo and Collins ACL 2010
- Koo et al, ACL 2008
- Kou 2007 stacked graphical learning for efficient inference in markov random fields
- Krishnan 2006 an effective two stage model for exploiting non local dependencies in named entity recognition
- Krogh 1994
- Krough 1994 hidden markov models for labeled sequences
- Ksuravar writeup of Boker et. al. 2001
- Ksuravar writeup of Borkar et. al. 2001
- Ksuravar writeup of Borthwick et. al.
- Ksuravar writeup of Frietag et. al.
- Ksuravar writeup of Jansche and Abney
- Ksuravar writeup of Klien 2002
- Ksuravar writeup of Sha and Pereira 2003
- Kucuk and Yazici, FQAS 2009
- Kuksa and Qi, SIAM 2010
- L-BFGS
- L-diversity
- L. Ku, Y. Liang, and H. Chen. Opinion extraction, summarization and tracking in news and blog corpora. In Proceedings of AAAI-2006
- LDA
- LIBSVM -- A Library for Support Vector Machines
- LLL
- LOB corpus
- LabelPropagation
- Label Propogation
- Label Regularization
- Lack of Sparsity
- Lacoste-Julien et al, NAACL 2006
- Lafferty 2001 Conditional Random Fields
- Lafferty 2001 conditional random fields probabilistic models for segmenting and labeling sequence data
- Lafferty 2004 kernel conditional random fields representation and clique selection
- Lafferty et al ICML 2001
- Lampe & Johnston, SIGGROUP 2005
- Lange et al CIKM 2010
- Language evolution
- Last.fm
- Latent Dirichlet Allocation
- Latent Friend Mining from Blog Data, ICDM 2006
- Latent Social Network Influence
- Latent Space Models
- Latent semantic indexing
- Lau et al HLT 1993
- Law et al., ECML 2010
- Learning Domain-Specific Information Extraction Patterns from the Web
- Learning Indian Classical Using Sequential Models
- Learning Influence Probabilities In Social Networks
- Learning Influence Probabilities as
- Learning Multilingual Subjective Language via Cross-Lingual Projections
- Learning by observation and practice: An incremental approach for planning operator acquisition
- Learning with Large Datasets - course proposal
- Legal* Free Hungry Shark Evolution Cheats Hack Coins Gems Mod Generator No Human Verification 2023
- Lehnen et al., ICASSP 2011. Incorporating Alignments into Conditional Random Fields for Grapheme to Phoneme Conversion
- Leman Akoglu et al KDD'10
- Lerman et al www 2010
- Leskovec, ACM Conference on Electronic Commerce (EC), 2006.
- Leskovec, Backstrom and Kleinberg KDD 09 News and Blog dataset
- Leskovec, J., D. Huttenlocher, and J. Kleinberg. 2010. Predicting positive and negative links in online social networks. In Proceedings of the 19th international conference on World wide web, 641–650.
- Leskovec, J., L. Backstrom, and J. Kleinberg. 2009. Meme-tracking and the Dynamics of the News Cycle. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, 497–506.
- Leskovec et. al., ACM Conference on Electronic Commerce (EC), 2006.
- Leskovec et al., WWW 2010
- Leskovec et al 2010
- Leskovec et al KDD 09
- Leskovec www 2010
- Leskovecl et al., 2010,Predicting Positive and Negative Linksin Online Social Networks
- Lexicon
- Li 2004 robust reading identification and tracing of ambiguous names
- Li et al IJCAI 11
- Liang and Klein, NAACL 2009
- Liang and Klein 2009 Online EM for Unsupervised Models
- Liben-Nowell Kleinberg J. Am.Soc.Inf.Sci.2007
- Liben-Nowell PNAS 2005
- Lin, 1998
- Lin, 1999
- Lin 2009 phrase clustering for discriminative learning
- Lin and Wu. 2009. Phrase Clustering for Discriminative Learning.
- Lin and Wu ACL 2009
- Lin et al KDD 2010
- Lin et al KDD 2011
- Lindsay 2008
- Linear Threshold Models - Diffusion models
- Linear regression
- Linearizing Dependency Trees
- Ling, X. and Weld, D. Temporal Information Extraction. AAAI-10
- Ling and He Joint Sentiment Topic Model for Sentiment Analysis
- Link-PLSA-LDA: A new unsupervised model for topics and influence of blogs
- Link Prediction
- Link Prediction in Relational Data
- Link del.icio.us
- Link prediction for the communication graphs including text
- Link propagation: A fast semi-supervised learning algorithm for link prediction
- Link to my wiki page for the "Analysis of Social Media" course taken in Spring, 2011.
- List of First-Draft Project Proposals for 10-802 in Spring 2011
- List of Second-Draft Project Proposals for 10-802 in Spring 2011
- List of project proposals for 10-802 in Fall 2012
- Liu K and Tang L. CIKM'11
- Liu and Nocedal, 1989
- Liuliu project abstract
- Liuliu writeup of Banko 2007
- Liuliu writeup of Bellare 2009
- Liuliu writeup of Borkar et al.
- Liuliu writeup of Borthwick et al.
- Liuliu writeup of Brin 1999
- Liuliu writeup of Bunescu 2005
- Liuliu writeup of Bunescu 2006
- Liuliu writeup of Bunescu 2007
- Liuliu writeup of Cohen 2000 AI
- Liuliu writeup of Cohen 2000 KDD
- Liuliu writeup of Cohen 2003
- Liuliu writeup of Cohen and Carvalho
- Liuliu writeup of Cohn 2005
- Liuliu writeup of Collins
- Liuliu writeup of Etzioni 2004
- Liuliu writeup of Freitag et al.
- Liuliu writeup of Giles talk
- Liuliu writeup of Jansche and Abney
- Liuliu writeup of Klein and Manning
- Liuliu writeup of Krishnan 2006
- Liuliu writeup of Poon 2007
- Liuliu writeup of Sha and Pereira
- Liuliu writeup of Sutton 2004
- Liuliu writeup of Wang 2007
- Liuliu writeup of Wang 2008
- Liuliu writeup of Wang 2009
- Liuy project abstract
- Liuy write up Sha 2003 shallow parsing with conditional random fields
- Liuy write up for Borthwick1998
- Liuy write up for Jansche and Abney
- Liuy writesup Bunescu 2006 subsequence kernels
- Liuy writesup Cohen 2005 stacked sequential learning
- Liuy writesup Etzioni 2004
- Liuy writesup Wang Cohen 2007
- Liuy writesup Wang Cohen 2008
- Liuy writeup of Banko et al.
- Liuy writeup of Bellare and McCallum
- Liuy writeup of Borkar et al 2001
- Liuy writeup of Brin
- Liuy writeup of Bunescu 2005
- Liuy writeup of Bunescu 2007
- Liuy writeup of Cohn 2005
- Liuy writeup of Collins 2002
- Liuy writeup of Frietag 2000
- Liuy writeup of Klein 2002
- Liuy writeup of Krishnan 2006
- Liuy writeup of Poon and Domingos
- Liuy writeup of Sutton 2004
- Liuy writeup of Wang Cohen 2009
- Liuy writeup of hardening soft constraints
- Liuy writeup of string distances
- LiveJournal blog
- LiveJournal post stream gathered using atom listener
- Livejournal dataset
- LoBue and Yates, ACL 2011
- Log Tempered TF-IDF
- Logistic Regression
- Logistic regression
- Los Alamos e-Print Archive
- Luke et al, Uncertainty in Artificial Intelligence 2005
- M. E. J. Newman PNAS 2006
- M. Hurst and K. Nigam. Retrieving topical sentiments from online document collection.
- M. Kim and J. Leskovec. ICML'12
- MCMC algorithm for posterior inference under hierarchical Dirichlet process mixtures
- MDR algorithm
- MEASURING USER INFLUENCE
- MEDLINE
- MPQA Multi-Perspective Question Answering
- MRS Guinea Pig
- MSN Spaces
- MUC
- MUC-6
- Machine Learning 10-601 in Fall 2013
- Machine Learning 10-601 in Fall 2014
- Machine Learning 10-601 in Spring 2016
- Machine Learning with Large Datasets - course proposal
- Machine Learning with Large Datasets 10-405 in Spring 2018
- Machine Learning with Large Datasets 10-605
- Machine Learning with Large Datasets 10-605 in Fall 2015
- Machine Learning with Large Datasets 10-605 in Fall 2016
- Machine Learning with Large Datasets 10-605 in Fall 2017
- Machine Learning with Large Datasets 10-605 in Spring 2012
- Machine Learning with Large Datasets 10-605 in Spring 2013
- Machine Learning with Large Datasets 10-605 in Spring 2014
- Machine Learning with Large Datasets 10-605 in Spring 2015
- Machine Translation
- Machine Transliteration
- Macskassy: Contextual linking behavior of bloggers
- Madsen et al Modeling Word Burstiness
- Main Page
- Manabu Sassano, IJCNLP
- Mann 2005 Multi-Field Information Extraction and Cross-Document Fusion
- Mann and McCallum, 2007
- Mann and McCallum, ICML 2007
- Mann and McCallum, NAACL- 2007
- Mao and G. Lebanon, 2006
- Mapping entity names in a document to places on a map
- Marcken, 1996
- Marcus and Wong, EMNLP 2002
- Margin Infused Relaxed Algorithm
- Mark my words!
- Markov Logic Networks
- Markov chain
- Martins et al. EMNLP 2011. Structured Sparsity in Structured Prediction
- Martins et al 2010
- Max-Margin Markov Networks
- Maxima
- Maximization of the benefit function known as "modularity"
- Maximum Entropy Markov Models
- Maximum Entropy model
- Maximum entropy
- Mayfield et al, CoNLL 2003
- McCallum Bellare and Pereira 2005 A Conditional Random Field for Discriminatively-Trained Finite-State String Edit Distance
- McDonald et al, 2007
- McDonald et al, ACL 2005: Non-Projective Dependency Parsing Using Spanning Tree Algorithms
- McDonald et al, ACL 2005: Non-projective dependency parsing using spanning tree algorithms
- Mccallum 2000 maximum entropy markov models for information extraction and segmentation
- Mccallum 2003 early results for named entity recognition with conditional random fields feature induction and web enhanced lexicons
- Mcintosh 2009 reducing semantic drift with bagging and distributional similarity
- Measure Propagation
- Measuring User Influence in Twitter: The Million Follower Fallacy
- Measuring wikipedia
- Mehdi project abstract
- Meila 2001 a random walks view of spectral segmentation
- Melia et al AISTATS 2001
- MemeTracker
- Metabolic network
- Metaphor Detection in Different Topics
- Metaphor identification using verb and noun clustering
- Method
- Mid-term-project-preso
- Midterm 805 project report
- Midterm Report Nitin Yandong Ming Yanbo
- Miller et al ICWSM 2011
- Minimum error rate training
- Mining of Political Issues
- Mintz et al., ACL-IJCNLP 2009
- Miray Dongyang Niting project proposal
- Mirco-WNOp
- Miwa 2009 a rich feature vector for protein protein interaction extraction from multiple corpora
- Miwa et al., 2008
- Miwa et al. 2008
- Mixed membership models of scientific publication
- Mkas paper review Jan4
- Mnduong project abstract
- Mnduong writeup of Banko et al. 2007
- Mnduong writeup of Bellare & McCallum 2009
- Mnduong writeup of Borkar et al.
- Mnduong writeup of Borthwick et al.
- Mnduong writeup of Brin 1999
- Mnduong writeup of Bunescu & Mooney ACL '07
- Mnduong writeup of Cohen & Carvalho
- Mnduong writeup of Cohen AI 2000
- Mnduong writeup of Cohen et al. IJCAI '03
- Mnduong writeup of Cohen et al. KDD '00
- Mnduong writeup of Cohn & Blunsom
- Mnduong writeup of Collins 2002
- Mnduong writeup of Dan Roth's Talk
- Mnduong writeup of Etzioni et al. 2004
- Mnduong writeup of Jansche and Abney
- Mnduong writeup of Klein & Manning
- Mnduong writeup of Krishnan & Manning 2006
- Mnduong writeup of Lee Giles' Talk
- Mnduong writeup of McCallum et al.
- Mnduong writeup of Poon & Domingos
- Mnduong writeup of Sha & Pereira
- Mnduong writeup of Sutton & McCallum 2004
- Mnduong writeup of Wang & Cohen 2007
- Mnduong writeup of Wang & Cohen 2008