A maximum entropy approach to natural language processing
Computational Linguistics
Additive models, boosting, and inference for generalized divergences
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Boosting as entropy projection
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Learning to Parse Natural Language with Maximum Entropy Models
Machine Learning - Special issue on natural language learning
Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
The maximum entropy approach and probabilistic IR models
ACM Transactions on Information Systems (TOIS)
Learning log-linear models on constraint-based grammars for disambiguation
Learning language in logic
Parameter Estimation in Stochastic Logic Programs
Machine Learning
Logistic Regression, AdaBoost and Bregman Distances
Machine Learning
Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic labeling of semantic roles
Computational Linguistics
Combining Simple Discriminators for Object Discrimination
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Local and Global Methods in Data Mining: Basic Techniques and Open Problems
ICALP '02 Proceedings of the 29th International Colloquium on Automata, Languages and Programming
Gibbsian Context-Free Grammar for Parsing
TSD '02 Proceedings of the 5th International Conference on Text, Speech and Dialogue
Fast Document Translation for Cross-Language Information Retrieval
AMTA '98 Proceedings of the Third Conference of the Association for Machine Translation in the Americas on Machine Translation and the Information Soup
AMTA '02 Proceedings of the 5th Conference of the Association for Machine Translation in the Americas on Machine Translation: From Research to Real Users
User-cognizant multidimensional analysis
The VLDB Journal — The International Journal on Very Large Data Bases
Segmentation and detection at IBM: hybrid statistical models and two-tiered clustering
Topic detection and tracking
Neural Computation
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A maximum entropy approach to information extraction from semi-structured and free text
Eighteenth national conference on Artificial intelligence
Most informative dimension reduction
Eighteenth national conference on Artificial intelligence
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Music modeling with random fields
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
An introduction to boosting and leveraging
Advanced lectures on machine learning
Reducing multiclass to binary: a unifying approach for margin classifiers
The Journal of Machine Learning Research
Sufficient dimensionality reduction
The Journal of Machine Learning Research
Sequence Modeling with Mixtures of Conditional Maximum Entropy Distributions
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Probabilistic User Behavior Models
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Polyphonic music modeling with random fields
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Energy-based models for sparse overcomplete representations
The Journal of Machine Learning Research
Statistical properties of probabilistic context-free grammars
Computational Linguistics
A model of lexical attraction and repulsion
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
ACM Transactions on Asian Language Information Processing (TALIP)
General-to-specific model selection for subcategorization preference
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
A Maximum Entropy Approach for Collaborative Filtering
Journal of VLSI Signal Processing Systems
Structural feature selection for English-Korean statistical machine translation
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Estimation of stochastic attribute-value grammars using an informative sample
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Kernel conditional random fields: representation and clique selection
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Robust feature induction for support vector machines
ICML '04 Proceedings of the twenty-first international conference on Machine learning
A maximum entropy approach to species distribution modeling
ICML '04 Proceedings of the twenty-first international conference on Machine learning
The minimum information principle for discriminative learning
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Case-factor diagrams for structured probabilistic modeling
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Bayesian learning in undirected graphical models: approximate MCMC algorithms
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
An evaluation of statistical spam filtering techniques
ACM Transactions on Asian Language Information Processing (TALIP)
Energy-based models for sparse overcomplete representations
The Journal of Machine Learning Research
Analysis of Statistical Question Classification for Fact-Based Questions
Information Retrieval
Investigating GIS and smoothing for maximum entropy taggers
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Using POS information for statistical machine translation into morphologically rich languages
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Named entity recognition: a maximum entropy approach using global information
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Refined lexicon models for statistical machine translation using a maximum entropy approach
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Joint and conditional estimation of tagging and parsing models
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Parameter estimation for probabilistic finite-state transducers
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Sequential conditional Generalized Iterative Scaling
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Teaching a weaker classifier: named entity recognition on upper case text
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Ranking algorithms for named-entity extraction: boosting and the voted perceptron
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Why inverse document frequency?
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Shallow parsing with conditional random fields
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Multi-labelled classification using maximum entropy method
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Improving discriminative sequential learning with rare--but--important associations
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Learning the structure of Markov logic networks
ICML '05 Proceedings of the 22nd international conference on Machine learning
Chinese Word Segmentation and Named Entity Recognition: A Pragmatic Approach
Computational Linguistics
Machine Learning
Chunking with maximum entropy models
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Using maximum entropy for sentence extraction
AS '02 Proceedings of the ACL-02 Workshop on Automatic Summarization - Volume 4
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Combining outputs of multiple Japanese named entity chunkers by stacking
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
A comparison of algorithms for maximum entropy parameter estimation
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Markov models for language-independent named entity recognition
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Named entity recognition with a maximum entropy approach
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Log-linear models for wide-coverage CCG parsing
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Evaluation and extension of maximum entropy models with inequality constraints
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Discriminative Reranking for Natural Language Parsing
Computational Linguistics
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
New developments in parsing technology
Information extraction from research papers using conditional random fields
Information Processing and Management: an International Journal
Ranking individuals by group comparisons
ICML '06 Proceedings of the 23rd international conference on Machine learning
A fast lightweight approach to origin-destination IP traffic estimation using partial measurements
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Computational studies of human motion: part 1, tracking and motion synthesis
Foundations and Trends® in Computer Graphics and Vision
Intelligent agents for multi-issue auctions and bidding
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Audio classification based on maximum entropy model
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Joint categorization of queries and clips for web-based video search
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Term context models for information retrieval
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Coupling feature selection and machine learning methods for navigational query identification
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Music retrieval: a tutorial and review
Foundations and Trends in Information Retrieval
Incremental parsing with the perceptron algorithm
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Adaptive Chinese word segmentation
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Logarithmic opinion pools for conditional random fields
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Incorporating non-local information into information extraction systems by Gibbs sampling
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
A progressive feature selection algorithm for ultra large feature spaces
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Multi-tagging for lexicalized-grammar parsing
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Chinese segmentation and new word detection using conditional random fields
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Improving discriminative sequential learning by discovering important association of statistics
ACM Transactions on Asian Language Information Processing (TALIP)
Extraction and search of chemical formulae in text documents on the web
Proceedings of the 16th international conference on World Wide Web
Adaptive estimated maximum-entropy distribution model
Information Sciences: an International Journal
Transductive Methods for the Distributed Ensemble Classification Problem
Neural Computation
Learning Factor Graphs in Polynomial Time and Sample Complexity
The Journal of Machine Learning Research
Estimating the "Wrong" Graphical Model: Benefits in the Computation-Limited Setting
The Journal of Machine Learning Research
Detecting anomalies in network traffic using maximum entropy estimation
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
A block bigram prediction model for statistical machine translation
ACM Transactions on Speech and Language Processing (TSLP)
Linear feature-based models for information retrieval
Information Retrieval
Exploiting non-local features for spoken language understanding
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Trust region Newton methods for large-scale logistic regression
Proceedings of the 24th international conference on Machine learning
Semantic passage segmentation based on sentence topics for question answering
Information Sciences: an International Journal
ACM Transactions on Asian Language Information Processing (TALIP)
Information-theoretic semantic multimedia indexing
Proceedings of the 6th ACM international conference on Image and video retrieval
Discriminative feature selection via multiclass variable memory Markov model
EURASIP Journal on Applied Signal Processing
An Extension of Iterative Scaling for Decision and Data Aggregation in Ensemble Classification
Journal of VLSI Signal Processing Systems
Maximum entropy estimation for feature forests
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Temporal feature induction for baseball highlight classification
Proceedings of the 15th international conference on Multimedia
Surrogate maximization/minimization algorithms and extensions
Machine Learning
Case-factor diagrams for structured probabilistic modeling
Journal of Computer and System Sciences
Practical use of non-local features for statistical spoken language understanding
Computer Speech and Language
Information extraction from calls for papers with conditional random fields and layout features
Artificial Intelligence Review
Automatic feature selection in the markov random field model for information retrieval
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Improving Speech Recognition and Understanding using Error-Corrective Reranking
ACM Transactions on Asian Language Information Processing (TALIP)
Feature forest models for probabilistic hpsg parsing
Computational Linguistics
Automated data extraction from the web with conditional models
International Journal of Business Intelligence and Data Mining
Contextual advertising by combining relevance with click feedback
Proceedings of the 17th international conference on World Wide Web
Privacy-MaxEnt: integrating background knowledge in privacy quantification
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Bootstrapping pay-as-you-go data integration systems
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Surrogate maximization/minimization algorithms and extensions
Machine Learning
Rapid bootstrapping of statistical spoken dialogue systems
Speech Communication
Trust Region Newton Method for Logistic Regression
The Journal of Machine Learning Research
Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
The Journal of Machine Learning Research
Discriminative Structure Learning of Markov Logic Networks
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
Just Add Weights: Markov Logic for the Semantic Web
Uncertainty Reasoning for the Semantic Web I
International Journal of Computer Vision
Zero-Anaphora Resolution in Chinese Using Maximum Entropy
IEICE - Transactions on Information and Systems
Sentence Topics Based Knowledge Acquisition for Question Answering
IEICE - Transactions on Information and Systems
StatSnowball: a statistical approach to extracting entity relationships
Proceedings of the 18th international conference on World wide web
A Simple and Efficient Model Pruning Method for Conditional Random Fields
ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
Deep transfer via second-order Markov logic
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Information theoretic regularization for semi-supervised boosting
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Uncertainty management in rule-based information extraction systems
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Towards Auto-Coding of Collaborative Interaction Texts Based on Maximum Entropy Approach
Proceedings of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding
Structure Learning of Markov Logic Networks through Iterated Local Search
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Unifying logical and statistical AI
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Competitive generative models with structure learning for NLP classification tasks
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
MMR-based feature selection for text categorization
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Efficient MAP Inference for Statistical Relational Models through Hybrid Metaheuristics
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams
IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
Discriminative training of Markov logic networks
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Structure learning on large scale common sense statistical models of human state
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Graph-cut-based anaphoricity determination for coreference resolution
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Domain adaptation for statistical classifiers
Journal of Artificial Intelligence Research
A dual-layer CRFs based joint decoding method for cascaded segmentation and labeling tasks
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
One class per named entity: exploiting unlabeled text for named entity recognition
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Efficient Markov network structure discovery using independence tests
Journal of Artificial Intelligence Research
Using semantic analysis to improve speech recognition performance
Computer Speech and Language
Speech recognition using augmented conditional random fields
IEEE Transactions on Audio, Speech, and Language Processing
Iterative scaling and coordinate descent methods for maximum entropy
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Language independent word segmentation for statistical machine translation
Proceedings of the 3rd International Universal Communication Symposium
Reinforcement learning for mapping instructions to actions
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
High Performing Algorithms for MAP and Conditional Inference in Markov Logic
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
Statistical Utterance Selection Using Word Co-occurrence for a Dialogue Agent
PRIMA '09 Proceedings of the 12th International Conference on Principles of Practice in Multi-Agent Systems
Entropy bounds for a Markov random subfield
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Divergence from factorizable distributions and matroid representations by partitions
IEEE Transactions on Information Theory
Learning explicit and implicit visual manifolds by information projection
Pattern Recognition Letters
Cautious Collective Classification
The Journal of Machine Learning Research
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models
The Journal of Machine Learning Research
A feature-based approach to modeling protein-DNA interactions
RECOMB'07 Proceedings of the 11th annual international conference on Research in computational molecular biology
Domain adaptation for conditional random fields
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Verb class discovery from rich syntactic data
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Probabilistic inductive logic programming
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
Using non-extensive entropy for text classification
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning Active Basis Model for Object Detection and Recognition
International Journal of Computer Vision
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
Image segmentation by MAP-ML estimations
IEEE Transactions on Image Processing
Conditional random fields for activity recognition in smart environments
Proceedings of the 1st ACM International Health Informatics Symposium
Learning artistic lighting template from portrait photographs
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Learning shape detector by quantizing curve segments with multiple distance metrics
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Word segmentation for dialect translation
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part II
An efficient approach to learning inhomogeneous gibbs model
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Boosting learning and inference in Markov logic through metaheuristics
Applied Intelligence
Classifier Ensemble Selection Using Genetic Algorithm for Named Entity Recognition
Research on Language and Computation
Constructing maximum entropy language models for movie review subjectivity analysis
Journal of Computer Science and Technology
Discriminative feature-tied mixture modeling for statistical machine translation
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Supervised classification methods for mining cell differences as depicted by Raman spectroscopy
CIBB'10 Proceedings of the 7th international conference on Computational intelligence methods for bioinformatics and biostatistics
Online structure learning for Markov logic networks
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Maximum entropy named entity recognition for Czech language
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
Loglinear models for first-order probabilistic reasoning
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Reduction of maximum entropy models to hidden markov models
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Discriminative probabilistic models for relational data
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
IPF for discrete chain factor graphs
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Feature selection and dualities in maximum entropy discrimination
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Probabilistic models for query approximation with large sparse binary data sets
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Efficient stepwise selection in decomposable models
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Sufficient dimensionality reduction with irrelevance statistics
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Efficiently inducing features of conditional random fields
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
On the convergence of bound optimization algorithms
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Boltzmann machine learning with the latent maximum entropy principle
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Efficient parametric projection pursuit density estimation
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Maximum entropy distribution estimation with generalized regularization
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Tagging complex NEs with maxent models: layered structures versus extended tagset
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Abbreviation recognition with maxent model
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
Training conditional random fields with unlabeled data and limited number of labeled examples
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Prosodic words prediction from lexicon words with CRF and TBL joint method
ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
Prosodic word prediction using a maximum entropy approach
ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
Classification with maximum entropy modeling of predictive association rules
ECML'05 Proceedings of the 16th European conference on Machine Learning
Learning models of relational stochastic processes
ECML'05 Proceedings of the 16th European conference on Machine Learning
Entire relaxation path for maximum entropy problems
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Structured sparsity in structured prediction
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Period disambiguation with maxent model
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Towards an integrated protein-protein interaction network
RECOMB'05 Proceedings of the 9th Annual international conference on Research in Computational Molecular Biology
Approximating a class of classification problems
Efficient Approximation and Online Algorithms
Auctions and bidding with information
AAMAS'04 Proceedings of the 6th AAMAS international conference on Agent-Mediated Electronic Commerce: theories for and Engineering of Distributed Mechanisms and Systems
Gibbs sampling with deterministic dependencies
MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
Research on semantic label extraction of domain entity relation based on CRF and rules
APWeb'12 Proceedings of the 14th international conference on Web Technologies and Applications
The Latent Maximum Entropy Principle
ACM Transactions on Knowledge Discovery from Data (TKDD)
On Learning Conditional Random Fields for Stereo
International Journal of Computer Vision
A scalable distributed syntactic, semantic, and lexical language model
Computational Linguistics
Zero anaphora resolution in chinese and its application in chinese-english machine translation
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
An information-theoretic measure to evaluate parsing difficulty across treebanks
ACM Transactions on Speech and Language Processing (TSLP)
Dimension reduction using clustering algorithm and rough set theory
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Sentiment Analysis of Turkish Political News
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Learning and parsing video events with goal and intent prediction
Computer Vision and Image Understanding
Action-model acquisition from noisy plan traces
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Computer Networks: The International Journal of Computer and Telecommunications Networking
Proceedings of the 23rd international conference on World wide web
Rethinking Stream Ciphers: Can Extracting be Better than Expanding?
Wireless Personal Communications: An International Journal
| Hi-index | 0.21 |
We present a technique for constructing random fields from a set of training samples. The learning paradigm builds increasingly complex fields by allowing potential functions, or features, that are supported by increasingly large subgraphs. Each feature has a weight that is trained by minimizing the Kullback-Leibler divergence between the model and the empirical distribution of the training data. A greedy algorithm determines how features are incrementally added to the field and an iterative scaling algorithm is used to estimate the optimal values of the weights. The random field models and techniques introduced in this paper differ from those common to much of the computer vision literature in that the underlying random fields are non-Markovian and have a large number of parameters that must be estimated. Relations to other learning approaches, including decision trees, are given. As a demonstration of the method, we describe its application to the problem of automatic word classification in natural language processing.