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JMLR
2010
143views more  JMLR 2010»
13 years 7 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
UM
2007
Springer
14 years 3 months ago
Principles of Lifelong Learning for Predictive User Modeling
Predictive user models often require a phase of effortful supervised training where cases are tagged with labels that represent the status of unobservable variables. We formulate a...
Ashish Kapoor, Eric Horvitz
ALT
1998
Springer
14 years 1 months ago
Learning with Refutation
In their pioneering work, Mukouchi and Arikawa modeled a learning situation in which the learner is expected to refute texts which are not representative of L, the class of langua...
Sanjay Jain
CORR
2006
Springer
99views Education» more  CORR 2006»
13 years 9 months ago
Logical settings for concept learning from incomplete examples in First Order Logic
We investigate here concept learning from incomplete examples. Our first purpose is to discuss to what extent logical learning settings have to be modified in order to cope with da...
Dominique Bouthinon, Henry Soldano, Véroniq...
ICRA
2000
IEEE
101views Robotics» more  ICRA 2000»
14 years 1 months ago
Towards Programming Tools for Robots that Integrate Probabilistic Computation and Learning
This paper describes a programming language extension of C++, called CES, specifically targeted towards mobile robot control. CES’s design is motivated by a recent series of su...
Sebastian Thrun