comp.ai
- Formula for N = number of training samples, M = number of features in a binary classifier?,
Dr. Colombes
- Loebner Prize Final Four,
hugh@xxxxxxxxxxx
- certificate data mining?,
vl_letter-1
- Need help with acquiring a paper by an AAAI member,
tyler . parke
- Question about OWL property restrictions,
acamposr
- ANN: Support Vector Machines Links,
kartoun
- CFP: 4th German workshop on Experience Management,
bjoern.decker@xxxxxxxxx
- Expert system that help the unemployed find jobs,
mypapit
- Compression is Equivalent to General Intelligence,
James A. Bowery
- Lux game free to AI researchers,
Dustin Sacks
- Wanted advice on natural language for web search engine.,
Jorekunrin
- New Newsgroup Proposal,
profchiken
- CFP: Reminder: Chicago Colloquium on Digital Humanities and Comp. Sci.,
Shlomo Argamon
- "Four Approaches for the Computer to Know" in AI,
yaoziyuan
- Re: Real world ontology applications,
Stefan Ram
- AI contributions to business,
adolfo . salazar
- A-star,
kingpin
- ANN: Stipends available for MSc Intelligent Systems for EU students,
ken . mcgarry
- Classified ads, price estimation.,
galleryin
- This may seem lame, but...,
Nekkoru
- Possible to Find the Clusters One by One??,
mathlover
- New AI WebSite,
Jaxx81
- JMLR: Large Scale Multiple Kernel Learning,
Redistributed
- JMLR: Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization,
Redistributed
- JMLR: Kernel-Based Learning of Hierarchical Multilabel Classification Models,
Redistributed
- JMLR: Structured Prediction, Dual Extragradient and Bregman Projections,
Redistributed
- JMLR: Efficient Learning of Label Ranking by Soft Projections onto Polyhedra,
Redistributed
- does greedy best first search produce optimal solution?,
dgrogan
- Re: Distance between two instances?,
Ted Dunning
