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ICML
2010
IEEE
15 years 5 months ago
Hilbert Space Embeddings of Hidden Markov Models
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
LEGE
2004
171views Education» more  LEGE 2004»
15 years 5 months ago
The Model of Collaborative Learning GRID to activate interactivity for Knowledge Building
The purpose of this study is to support the learning activity in the Internet learning space. In this paper, we examine the GRID technology as the knowledge management for support...
Toshio Okamoto, Mizue Kayama
SIGIR
2008
ACM
15 years 3 months ago
Knowledge transformation from word space to document space
In most IR clustering problems, we directly cluster the documents, working in the document space, using cosine similarity between documents as the similarity measure. In many real...
Tao Li, Chris H. Q. Ding, Yi Zhang 0005, Bo Shao
APSEC
2001
IEEE
15 years 7 months ago
Expert Maintainers' Strategies and Needs when Understanding Software: A Case Study Approach
Accelerating the learning curve of software maintainers working on systems with which they have little familiarity motivated this study. A working hypothesis was that automated me...
Christos Tjortjis, Paul J. Layzell
AAAI
2008
15 years 6 months ago
Strategyproof Classification under Constant Hypotheses: A Tale of Two Functions
We consider the following setting: a decision maker must make a decision based on reported data points with binary labels. Subsets of data points are controlled by different selfi...
Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosens...