A fine grained heuristic to capture web navigation patterns
ACM SIGKDD Explorations Newsletter
Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization
Data Mining and Knowledge Discovery
Partial Plan Recognition Using Predictive Agents
PRIMA '98 Selected papers from the First Pacific Rim International Workshop on Multi-Agents, Multiagent Platforms
Predicting User Actions Using Interface Agents with Individual User Models
PRIMA '99 Proceedings of the Second Pacific Rim International Workshop on Multi-Agents: Approaches to Intelligent Agents
Fluent Learning: Elucidating the Structure of Episodes
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Data Mining of User Navigation Patterns
WEBKDD '99 Revised Papers from the International Workshop on Web Usage Analysis and User Profiling
Evaluating the markov assumption for web usage mining
WIDM '03 Proceedings of the 5th ACM international workshop on Web information and data management
Discriminatively Trained Markov Model for Sequence Classification
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Gencel: a program generator for correct spreadsheets
Journal of Functional Programming
A method for online analytical processing of text data
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
History-Based Inside-Outside Algorithm
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
The generalized A* architecture
Journal of Artificial Intelligence Research
Some of our best friends are statisticians
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
Improved usage model for web application reliability testing
ICTSS'11 Proceedings of the 23rd IFIP WG 6.1 international conference on Testing software and systems
Generating dynamic higher-order markov models in web usage mining
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Voting between multiple data representations for text chunking
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Developing methods and heuristics with low time complexities for filtering spam messages
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
Calibrating trajectory data for similarity-based analysis
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
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From the Publisher:Eugene Charniak breaks new ground in artificial intelligence research by presenting statistical language processing from an artificial intelligence point of view in a text for researchers and scientists with a traditional computer science background. New, exacting empirical methods are needed to break the deadlock in such areas of artificial intelligence as robotics, knowledge representation, machine learning, machine translation, and natural language processing (NLP). It is time, Charniak observes, to switch paradigms. This text introduces statistical language processing techniques -- word tagging, parsing with probabilistic context free grammars, grammar induction, syntactic disambiguation, semantic word classes, word-sense disambiguation -- along with the underlying mathematics and chapter exercises. Charniak points out that as a method of attacking NLP problems, the statistical approach has several advantages. It is grounded in real text and therefore promises to produce usable results, and it offers an obvious way to approach learning: "one simply gathers statistics." Language, Speech, and Communication